DeepSource Technologies

Role Description We are looking for a motivated and technically solid L1 Data Engineer to join our growing Data & Analytics team. In this role, you will be responsible for designing, building, and maintaining the data architecture and infrastructure that supports our organization's data strategy. You will work hands-on to develop, test, and deploy reliable data solutions — ensuring pipelines are scalable, efficient, and aligned with business requirements. This is an ideal opportunity for a data professional who is eager to deepen their expertise in cloud-native data platforms, particularly within the Microsoft Azure and Databricks ecosystem, and who thrives in a collaborative, fast-paced environment. - Design, develop, and maintain scalable data pipelines and ETL/ELT workflows to support business intelligence and analytics use cases. - Build and optimize data ingestion processes using Azure Data Factory and Databricks, ensuring data quality and consistency across all layers of the data platform. - Transform and process large datasets using PySpark and Python, applying best practices for performance and maintainability. - Write and optimize complex SQL queries to support analytical reporting and data validation requirements. - Collaborate with data architects and senior engineers to implement and maintain data models aligned with organizational standards. - Monitor, troubleshoot, and resolve pipeline failures and data quality issues, applying root-cause analysis to prevent recurrence. - Contribute to documentation of data pipelines, data dictionaries, and engineering standards. - Support the team in exploring and evaluating new tools and approaches to continuously improve the data infrastructure. Qualifications - 2+ years of professional experience in a Data Engineering or closely related role. - Strong proficiency in Python for data processing, transformation, and automation tasks. - Hands-on experience with Pandas for data manipulation and PySpark for distributed data processing. - Practical experience with Databricks, including notebook development, clusters, and job orchestration. - Experience building and managing data pipelines with Azure Data Factory. - Working knowledge of Azure Synapse Analytics, particularly Spark pool integration. - Solid SQL skills, including query writing, optimization, and performance tuning. - Familiarity with data engineering principles including incremental loading, data lake architecture, and Delta Lake. - Understanding of data governance and security concepts within a cloud data platform. Requirements - Experience with SQL Server migration projects, including schema conversion and data movement. - Exposure to Terraform for Azure infrastructure provisioning and management. - Familiarity with CI/CD practices applied to data engineering workflows. - Experience with Delta Sharing or Lakehouse Federation concepts. Certification Requirement Candidates are expected to hold or be actively working toward the Databricks Certified Data Engineer Associate certification. This certification validates foundational knowledge across the following domains: - Databricks Lakehouse Platform architecture and capabilities - ETL and ELT workflows using Spark SQL and PySpark - Incremental data processing and structured streaming - Production pipeline development and orchestration - Data governance and security within the Databricks environment

Role Description As a Data Engineer, He/She will be responsible for designing, building, and maintaining the data architecture and infrastructure required for our organization's data needs. They will also be responsible for developing, testing, and deploying data solutions, ensuring that they meet our organization's needs. Qualifications - Experience working with Python for data analysis and processing. - Proficient in using the Pandas library for data manipulation and analysis. - Experience working with Pyspark for distributed data processing. - Familiar with Databricks for managing big data workloads. - Experience with Azure Synapse Spark for building and managing data pipelines. - Experience with Azure Data Factory for creating and managing data integration workflows. - Proficient in SQL and experienced in optimizing SQL queries for performance. - Experience migrating data from SQL Server to other platforms. - Bonus: Experience with Terraform for Azure. - Knowledge assessed in the Databricks certification: Databricks Certified Data Engineering Associate. - Knowledge assessed in the Databricks certification: Databricks Certified Data Engineering Professional. Company Description

Role Description Our Engineering Team is looking for a strategic, visionary, and hands-on leader to join us as a Principal Engineer / Software Architect. In this role, you’ll define the technical backbone of our global HR platform, drive AI-powered innovation, and ensure our systems are secure, scalable, and future-proof. What You’ll Own: - Define and lead the technical and architectural vision for our core platform. - Drive AI and machine learning initiatives that power automation, compliance, and data intelligence. - Embed DevSecOps and security-first principles throughout our software delivery lifecycle. - Design scalable, resilient, and cloud-native systems that support our global operations. - Mentor senior engineers, cooperate with Engineering managers, and guide teams toward engineering excellence. - Collaborate with Product, Data, and AI teams to deliver intelligent, secure, and high-performing solutions. Qualifications - 10+ years of software engineering experience with strong system design and architecture skills. - Proven experience in AI/ML integration or productionizing machine learning models at scale. - Deep expertise in DevSecOps, cloud security, and automation (AWS/GCP or Kubernetes or IaC). - Proficiency in backend technologies such as Java/Python. - Strong problem-solving, leadership, and mentorship capabilities. - Passion for innovation, scalability, and secure software design. Requirements - Experience in HR tech, fintech, or data-heavy platforms (Nice to Have). - Familiarity with GDPR, ISO27001, and modern data protection frameworks (Nice to Have). - Knowledge of AI ethics, model monitoring, or ML security (Nice to Have). - Familiarity with AI/ML applications, observability, and intelligent automation (Nice to Have). Benefits - Global, remote, and thriving: We're a global team of talented individuals spread across 26 countries. Our WorkFlex program lets you work from anywhere, anytime. - Your well-being is our priority: We offer a dedicated Well-Being Day—a full day off just to recharge and relax. - Get fit and stay active: Work out on your terms, at a discount with our subsidised gym memberships. - Learn, grow, and develop: With our Training & Development Allowance, you’ll have all the opportunities you need to keep expanding your skills and knowledge. - Stay connected: Take part in exciting annual team meetups! - Diversity is our superpower: We are proud to be an equal opportunity employer, committed to fostering a diverse and inclusive workplace.

Role Description As we scale our delivery across EMEA to meet growing customer demand, we are looking to engage a dedicated Senior Consultant (Lead Consultant level) on a contract basis for one of our clients. The engagement is structured as a 6-month contract, with the option to extend up to 12 months, based on performance and business requirements. The contractor will be embedded within the Cohesity Professional Services team, leading and delivering expert-level engagements directly with enterprise customers across EMEA. Core responsibilities will include: - Driving technology discussions, solution positioning, and architecture design from initial engagement through to implementation - Translating customer business requirements into integrated technical solutions and ensuring seamless integration into existing environments - Working alongside our internal Sales, PMO, and Engineering teams as well as key partners to support solution design and delivery - Representing Cohesity Professional Services through high-impact customer presentations and executive-level engagements - Keeping current with industry trends and continuously developing expertise in evolving technologies Qualifications - 8+ years of hands-on experience with NetBackup and/or NetBackup Flex Appliances - Deep expertise in data protection, backup, and recovery architectures - Strong understanding of cloud platforms and highly available application architectures - Solid working knowledge of major operating systems and their configurations - Proficiency with enterprise applications and databases (e.g., Oracle, SAP, SQL Server) - Familiarity with scripting and automation tools such as Ansible or Puppet - Proven customer-facing engagement skills, with the ability to present and communicate technical concepts to senior stakeholders