FS Data Engineer - Experience Associate
PwC (company site, opens in a new tab)1–3 yrsKolkataOn-siteDirect career pageEst. 6–12 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain data pipelines, data products, and analytics solutions using Python, SQL, Spark, and Databricks in a cloud environment primarily using Azure.
- Collaborate with stakeholders to understand requirements and deliver technical solutions aligned with data modeling, lakehouse, and data warehouse concepts.
- Support testing, debugging, troubleshooting, and performance tuning to ensure solution quality and reliability while applying version control and CI/CD best practices.
Minimum Requirements
- Bachelor’s degree or equivalent in computer science, engineering, information systems, or related field.
- 1 to 3 years of relevant experience in data engineering, software development, or analytics engineering.
- Working knowledge of Python, SQL, Spark, data pipeline development, and exposure to Databricks or similar cloud platforms (Microsoft Fabric, Snowflake).
- Familiarity with Azure services, data lakes, lakehouse architecture, data warehousing, Git, testing, debugging, and CI/CD fundamentals.
Ideal Candidate Profile
- Experienced in cloud-based data engineering with hands-on knowledge of Databricks workflows and Delta Lake technologies.
- Familiar with modern data platform concepts, including data quality, automated testing, and performance optimization.
- Interested in emerging AI technologies such as Generative AI, retrieval-augmented generation, and large language models within data solutions context.