Req ID: 366941 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Engineer - AWS to join our team in Remote, Karnātaka (IN-KA), India (IN). "Job Duties: Role Overview We are looking for a skilled Data Engineer to design, build, and maintain scalable, reliable data pipelines and platforms that support analytics, reporting, and operational decision-making. The role’s primary focus is enabling an end-to-end data ingestion and processing pipeline—extracting data preferably from Salesforce, landing it in Amazon S3, and transforming/loading it into Amazon Redshift for analytics-ready consumption. The engineer will also work on SQL modernization (including Oracle SQL development and conversion/optimization for Redshift), data quality, governance, monitoring, and performance tuning. ________________________________________ Primary Focus (Must-Have Outcome) Build and operate robust ETL/ELT pipelines for: • Salesforce → Amazon S3 → Amazon Redshift • Automated extraction, secure landing, transformation, load, and publishing for reporting/analytics • Strong data quality, reconciliation, monitoring, and scheduling built into the pipeline ________________________________________ Key Responsibilities Salesforce to AWS Data Pipelines (Core) • Build and maintain pipelines that extract data from Salesforce (API-based or connector-based), land data in Amazon S3, and load into Amazon Redshift • Implement incremental loads / CDC patterns where applicable; manage full loads and historical backfills as needed • Establish scheduling and orchestration for daily/near-real-time jobs with reliability and retry mechanisms SQL Engineering (Oracle + Redshift) • Design, develop, and optimize complex SQL in Oracle • Analyze and convert Oracle SQL to Redshift-compatible SQL, optimizing for Redshift performance and cost • Tune Redshift queries using best practices such as sort keys, distribution styles, and query patterns ETL/ELT, Data Modeling, and Warehousing • Design and maintain ETL/ELT jobs, transformations, and reusable frameworks • Build and optimize data models for warehousing/lakehouse patterns (facts/dimensions, curated layers) • Support both batch and (where applicable) near-real-time processing patterns Data Quality, Governance, and Compliance • Implement data quality checks (completeness, accuracy, consistency), reconciliation, and validation rules • Ensure data integrity, metadata documentation, lineage, and governance practices • Apply security and compliance standards (GDPR/regulatory needs where applicable) Operations, Monitoring, and Reliability • Monitor pipelines and infrastructure using AWS monitoring tools; troubleshoot performance and reliability issues • Improve pipeline resilience through alerting, logging, retries, and error handling • Contribute to modernization and cloud migration initiatives and automation (DataOps/CI-CD where relevant) Cross-Functional Collaboration • Partner with analytics/reporting and business stakeholders to gather requirements and deliver reliable datasets • Work effectively with cross-functional teams and provide clear documentation of pipelines and datasets ________________________________________ Technology Stack (Expected Exposure) Primary (Must-Have) • AWS: Amazon S3, Redshift, IAM, CloudWatch • Salesforce Integration: Salesforce APIs / connectors (extraction & ingestion patterns) • Programming & Querying: Python, SQL • Oracle: Complex SQL, stored procedures (as needed), performance tuning • Orchestration/Scheduling: AWS Glue, Lambda, Step Functions, cron-based scheduling (or equivalent) Data Engineering & Platform (Good-to-Have / Nice-to-Have) • ETL tools: Informatica, Talend, Azure Data Factory • Warehousing: Snowflake, Azure Synapse (plus Redshift as primary) • Big data: Spark, Hadoop • Streaming & APIs: Kafka, Event Hub, REST APIs • DevOps/DataOps: CI/CD for data pipelines, infrastructure-as-code exposure Minimum Skills Required: Required Skills & Experience • Strong hands-on experience building ETL/ELT pipelines in cloud environments • Proven experience integrating Salesforce data into a data platform (extraction, S3 landing, transformat" About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Funding Societies | Modalku is the largest SME digital finance platform in Southeast Asia. We are licensed and operating  in Singapore, Indonesia, Thailand, Malaysia and Vietnam, and backed by Sequoia India (Peak XV), Softbank Vision Fund, Khazanah and SMBC bank amongst many others. Funding Societies | Modalku provides business financing to small and medium-sized enterprises (SMEs), which is funded by individual and institutional investors, as well as payments solutions to SMEs and consumers. Here at Funding Societies | Modalku we live by our core values GETFS: - Grow Relentlessly: Strive to become our best, most authentic selves. - Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed. - Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation. - Focus on Impact: Create impact through bias for action and tangible results. - Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession. We are seeking a passionate **Senior Data Engineer** for the regional Data Team. This role requires you to design, develop and implement a cloud-based Data Warehouse, architect data ingestion from diverse sources into a central platform, write performant SQL, build and optimize ETL/ELT pipelines with dbt, tune and debug the DWH, and partner closely with Data Analytics, Data Science, and business stakeholders across our Financing and Payments products. As a senior member of the team, you will be expected to lead technical initiatives end-to-end and mentor other engineers. What you will do: - Design, develop and maintain scalable, production-grade data pipelines and build new API integrations to support growing data volume and complexity across our lending and payments products. - Build and maintain modular, tested, and well-documented data transformation models using **dbt** on top of Snowflake. - Lead high-impact data platform initiatives end-to-end-- from scoping and technical design through delivery, monitoring, and iteration. - Collaborate with analytics, data science, and business teams to evolve data models that power BI tools, regulatory reporting, and data-driven decision making across the organization. - Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources using SQL, Snowflake, dbt, and AWS big data technologies. - Partner with Executive, Product, Risk, Finance, and Engineering stakeholders to resolve data-related technical issues and support their data infrastructure needs. - Champion data quality, governance, lineage, and cost efficiency across the data platform. - Mentor junior and mid-level data engineers through code reviews, design reviews, and knowledge sharing.

Funding Societies | Modalku is the largest SME digital finance platform in Southeast Asia. We are licensed and operating  in Singapore, Indonesia, Thailand, Malaysia and Vietnam, and backed by Sequoia India (Peak XV), Softbank Vision Fund, Khazanah and SMBC bank amongst many others. Funding Societies | Modalku provides business financing to small and medium-sized enterprises (SMEs), which is funded by individual and institutional investors, as well as payments solutions to SMEs and consumers. Here at Funding Societies | Modalku we live by our core values GETFS: - Grow Relentlessly: Strive to become our best, most authentic selves. - Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed. - Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation. - Focus on Impact: Create impact through bias for action and tangible results. - Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession. We are seeking a passionate **Senior Data Engineer** for the regional Data Team. This role requires you to design, develop and implement a cloud-based Data Warehouse, architect data ingestion from diverse sources into a central platform, write performant SQL, build and optimize ETL/ELT pipelines with dbt, tune and debug the DWH, and partner closely with Data Analytics, Data Science, and business stakeholders across our Financing and Payments products. As a senior member of the team, you will be expected to lead technical initiatives end-to-end and mentor other engineers. What you will do: - Design, develop and maintain scalable, production-grade data pipelines and build new API integrations to support growing data volume and complexity across our lending and payments products. - Build and maintain modular, tested, and well-documented data transformation models using **dbt** on top of Snowflake. - Lead high-impact data platform initiatives end-to-end-- from scoping and technical design through delivery, monitoring, and iteration. - Collaborate with analytics, data science, and business teams to evolve data models that power BI tools, regulatory reporting, and data-driven decision making across the organization. - Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources using SQL, Snowflake, dbt, and AWS big data technologies. - Partner with Executive, Product, Risk, Finance, and Engineering stakeholders to resolve data-related technical issues and support their data infrastructure needs. - Champion data quality, governance, lineage, and cost efficiency across the data platform. - Mentor junior and mid-level data engineers through code reviews, design reviews, and knowledge sharing.

Introduction Welcome to Gallagher - a global community of people who bring bold ideas, deep expertise, and a shared commitment to doing what’s right. We help clients navigate complexity with confidence by empowering businesses, communities, and individuals to thrive. At Gallagher, you’ll find more than a job; you’ll find a culture built on trust, driven by collaboration, and sustained by the belief that we’re better together. Whether you join us in a client-facing role or as part of our brokerage division, our benefits and HR consulting division, or our corporate team, you’ll have the opportunity to grow your career, make an impact, and be part of something bigger. Experience a workplace where you’re encouraged to be yourself, supported to succeed, and inspired to keep learning. That’s what it means to live The Gallagher Way. Overview Overview The Data Engineering Lead will be responsible for the design, development, implementation, and support of the Data Initiatives throughout Gallagher, ensuring that optimal data delivery architecture is consistent across ongoing projects. You will lead and mentor data engineers and data scientists, ensuring alignment with business goals and fostering collaboration across multiple teams, systems, and products. You will also oversee deliverables and provide ongoing support to ensure project success and operational excellence. Do you find the prospect of optimizing or even re-designing our company's integration and data architecture to support our next generation of products and data initiatives most exciting? We really should explore together. Please note additional position details below: - This is a Temp-To-Hire, W-2 position. We are not able to do 1099 or C2C. - It is a fully remote role that will need to be based in the U.S. - You must meet our U.S. Eligibility requirements for work authorization as noted under "Additional Information" at the bottom of the job description. How you'll make an impact How you'll make an impact Leadership and Strategy: - Lead requirements gathering, scope definition, and technical design of integration workflows, ensuring alignment with business objectives and providing strategic direction to the team. - Experience managing and mentoring a team of Data Engineers (onsite and offshore). - Proactively identify risks and uncertainties in data initiatives, and develop strategies to mitigate them while ensuring project success. Team and Stakeholder Management: - Provide leadership, direction, and coordination for development and support teams, including globally located resources, ensuring effective communication and collaboration. - Act as a liaison between technical teams and business users, ensuring that data solutions meet business needs and addressing concerns or uncertainties effectively. - Manage deliverables across multiple teams, ensuring timely completion and alignment with business priorities. Technical Contributions: - Seek out, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability. - Build the infrastructure required for optimal ETL/ELT pipelines to ingest data from a wide variety of data sources using Microsoft Azure technologies such as Azure Data Factory and Databricks. - Construct and maintain enterprise-level integrations using the Snowflake platform, Azure Synapse, Azure SQL, and SQL Server. - Create data tools for data analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader. Problem Solving and Troubleshooting: - Lead troubleshooting efforts, driving root-cause analysis, and coordinating with infrastructure teams to resolve incidents while maintaining transparency with stakeholders. - Design analytics tools that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. - Provide ongoing support for data systems and integrations, ensuring reliability and performance while addressing issues promptly. About You About you Required: - A relevant technical BS Degree in Information Technology. - Proven experience in leading cross-functional teams, managing business users, and driving alignment between technical and business objectives. - 3+ years of experience leading a technical team. - 7+ years of data engineering experience leveraging technologies such as Snowflake, Azure Data Factory, ADLS Gen 2, Logic Apps, Azure Functions, Databricks, Apache Spark, Scala, Synapse, SQL Server. - Experience with scripting tools such as Power Shell, Python, Scala, Java, and XML. - Understanding the pros and cons, and best practices of implementing Data Lake, using Microsoft Azure Data Lake Storage. - Experience structuring Data Lake for reliability, security, and performance. - Experience implementing ETL for Data Warehouse and Business Intelligence solutions. - Skills to read and write effective, modular, dynamic, parameterized, and robust code, establish and follow already established code standards, and ETL framework. - Strong analytical, problem-solving, and troubleshooting abilities. - Good understanding of unit testing, software change management, and software release management. - Knowledge of DevOps processes (including CI/CD) and Infrastructure as Code fundamentals. - Experience performing root cause analysis on data and processes to answer specific business questions and identify opportunities for improvement. - Experience working within an agile team. - Exceptional communication and interpersonal skills, with the ability to influence and guide stakeholders at all levels. - Demonstrated ability to manage relationships with business users, address their concerns, and ensure their needs are met through effective communication and collaboration. - Experience in navigating ambiguity and uncertainty in projects, with a track record of delivering successful outcomes. - Proven experience managing deliverables across multiple teams and providing ongoing support for data systems and integrations. #LI-NJ1 #Contingent #APintegration Compensation and benefits We offer a competitive and comprehensive compensation package. The base salary range represents the anticipated low end and high end of the range for this position. The actual compensation will be influenced by a wide range of factors including, but not limited to previous experience, education, pay market/geography, complexity or scope, specialized skill set, lines of business/practice area, supply/demand, and scheduled hours. On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits. Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve: - Medical/dental/vision plans, which start from day one! - Life and accident insurance - 401(K) and Roth options - Tax-advantaged accounts (HSA, FSA) - Educational expense reimbursement - Paid parental leave Other benefits include: - Digital mental health services (Talkspace) - Flexible work hours (availability varies by office and job function) - Training programs - Gallagher Thrive program – elevating your health through challenges, workshops and digital fitness programs for your overall wellbeing - Charitable matching gift program - And more... **The benefits summary above applies to fulltime positions. If you are not applying for a fulltime position, details about benefits will be provided during the selection process. We value inclusion and diversity Click Here to review our U.S. Eligibility Requirements Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work. Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest. Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.