NTT DATA Services

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.

Data Engineer - AWS

Location

India

Posted

51 days ago

Salary

0

Seniority

Mid Level

Job Description

Data Engineer - AWS

NTT DATA Services

Role Description 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. Qualifications - Strong hands-on experience building ETL/ELT pipelines in cloud environments - Proven experience integrating Salesforce data into a data platform (extraction, S3 landing, transformation) Requirements - 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 - 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 - 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 - 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 - 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) - 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) - 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 Benefits - Flexible work arrangements (remote or hybrid) - Access to a robust ecosystem of innovation centers - Commitment to employee development and growth

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$75K - $110K / year