Data Engineer - Azure Databricks - Senior Associate

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You'll work at the heart of global teams across Advisory, Assurance, Tax and Business Services-solving real client challenges through connected collaboration. We'll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference-every day.

As a Data Engineer - Azure Databricks - Senior Associate you will support data modernization efforts by designing, building, and maintaining cloud data pipelines and platform components using Azure Databricks within our Advisory practice. As a Senior Associate you will analyze complex problems, manage assigned workstreams, guide junior team members, and use critical thinking to develop deliverables that align with client needs and the broader business context. In this role, you will contribute to data integration, ETL, cloud migration, and analytics solutions across Azure environments, while building meaningful client connections and growing your technical skills within Cloud Engineering, Data & Analytics and Product Innovation.

Responsibilities:

• Designing and building Azure Databricks data pipelines to ingest, transform, and deliver trusted data for analytics and reporting
• Developing cloud-based data engineering solutions across Azure data services, data lakes, and modern warehouse platforms
• Optimizing pipeline performance, query execution, and data storage patterns to improve scalability and processing speed
• Implementing data quality checks, validation logic, and monitoring routines across batch and streaming workflows
• Translating business needs into technical data models, integration patterns, and reusable engineering components
• Supporting modernization of legacy data environments through cloud migration, consolidation, and platform refactoring
• Applying Apache Airflow, Azure Data Factory, and related orchestration tools to schedule and manage data workflows
• Reviewing code, troubleshooting pipeline issues, and mentoring junior team members on engineering methods and delivery practices

What You Must Have:

• At least a Bachelor's degree
• At least 4 years of experience
• Oral and written proficiency in English required

Must Have:

• 4+ years of experience working in Azure ADLS, Databricks, Data Flows, HDInsight, Azure Analysis Services
• Should be aware of data management concepts and data modelling
• Good knowledge of big data frameworks and related technologies
• Experience in Hadoop and Spark is mandatory
• Should have expertise in extracting data from different source systems like flat files, XML sources, JSON, Parquet files, big data appliances, RDBMS, etc.
• Should have clear understanding of DW lifecycle and contributed in preparing detail level design document
• Unit test plans
• Code review reports
• Must have strong SQL, understand joins, groups, functions, and stored procedures
• Must have experience in unit and integration test creation and verification
• Proficient in creating documentation related to project architecture, project end user manual, and operations hand-off guide
• Should have good understanding of data migration processes, methods, and project lifecycle
• Good Unix shell scripting skills
• Strong analytical skills and troubleshooting skills
• Should be well versed with quality processes and implementation
• Excellent communication skills
• Strong understanding of cloud data migration processes, methods, and project lifecycle
• Good knowledge of application DevOps tools (Git, CI/CD frameworks)
• Experience in Jenkins or GitLab with rich experience in source code management like code pipeline, code build, and code commit

Desired Knowledge / Skills:

• Certifications in Azure / Databricks
• Experience in building stream-processing systems, using solutions such as Storm or Spark Streaming
• Experience in big data ML toolkits, such as Mahout, SparkML, or H2O
• Experience in Azure Functions
• Knowledge in Python

What Sets You Apart:

• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
• Demonstrating Azure Databricks data engineering experience across cloud platforms
• Applying data pipeline, data modeling, and data integration skills in client work
• Leveraging Apache Airflow, Azure Data Factory, or Snowflake knowledge
• Interpreting complex data challenges and developing practical solutions
• Mentoring junior team members while managing assigned workstreams