23 hours ago
Kolkāta, IndiaEntry Level / Mid Level
Responsibilities
- Develop and maintain data pipelines, data products, and analytics solutions using Python, SQL, Spark, and Databricks.
- Build and enhance cloud-based data solutions using Azure services and modern data platforms.
- Apply data modeling, Delta Lake, lakehouse, and data warehouse concepts to business and analytics needs.
- Collaborate with team members and stakeholders to gather requirements and deliver technical solutions.
- Support testing, debugging, troubleshooting, monitoring, and performance tuning.
- Use version control, CI/CD, and development best practices for dependable delivery.
- Contribute to GenAI and retrieval-augmented generation initiatives under appropriate technical guidance.
- Continuously develop technical skills and adopt new engineering tools and practices.
Requirements
- Bachelor’s degree or equivalent experience in computer science, engineering, information systems, or a related field.
- 1 to 3 years of relevant experience in data engineering, software development, analytics engineering, or a related technology role.
- Working knowledge of Python, SQL, Spark, and data pipeline development.
- Exposure to Databricks or comparable cloud data platforms such as Microsoft Fabric or Snowflake.
- Familiarity with Azure services, data lakes, lakehouse architecture, and data warehousing concepts.
- Understanding of Git, testing, debugging, and CI/CD fundamentals.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Preferred experience includes Databricks workflows, Delta Live Tables, Unity Catalog, Asset Bundles, automated testing, data quality checks, monitoring, and performance optimization.
- Awareness of Generative AI, RAG, large language models, semantic search, or related AI technologies is preferred.
- Curiosity, adaptability, and enthusiasm for improving data delivery practices are preferred.
Tech Stack
Categories
Data Engineering
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.