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Strong PwC brand, metro Bengaluru, mid-level (3–5 yrs) data engineer with common tech stack increases competition.
Core data engineering skills like Python, Spark, and cloud are highly transferable across industries.
Explicit 3–5 years and mandatory cloud/data stack increases resume filtering rigor.
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Develop and maintain data pipelines, data products, and analytics solutions using Python, SQL, Spark, and modern data engineering tools.
Support data engineering initiatives on cloud data platforms such as Databricks, Microsoft Fabric, Snowflake, Sigma, and build cloud-based data solutions using Azure services.
Contribute to AI-enabled initiatives including Generative AI, Retrieval-Augmented Generation (RAG), and support CI/CD, debugging, and performance tuning to improve solution quality.
Bachelor’s degree or equivalent experience.
3 to 5 years of relevant experience in data engineering or related technology roles.
Proficiency with Python, SQL, Spark, and cloud data platforms (e.g., Databricks, Snowflake, Azure).
Travel requirement up to 20%.
Experience working with modern cloud data platforms and implementing data lake, lakehouse, and data warehouse architectures.
Familiarity with emerging AI technologies such as Generative AI, RAG, LLMs, and semantic search.
Capability to collaborate across teams and adapt to varied client environments while delivering high-quality, innovative data engineering solutions.