Senior Data Engineer

Job Alert: Senior Data Engineer (4-6 Yrs) | Python, Spark, Snowflake

Are you an experienced Data Engineer passionate about building and optimizing scalable data platforms We're looking for an independent problem-solver to join our team in Bangalore or Pune and deliver robust data solutions!

Role Details

Job Title: Data Engineer (Senior Level)

Experience:4-6 Years 1

Compensation: 20 LPA and above (Dependent on interview)

Work Mode:Hybrid (3 Days from Office)

Location:Bangalore / Pune 2 (Willingness to travel within India is required) 3

Key Responsibilities

Design, build, and optimize large-scale, distributed data pipelines for both batch and streaming use cases4.

Implement scalable data models, data warehouses/lakehouses, and data lakes5.

Drive performance tuning, monitoring, and reliability of production data pipelines6666.

Mentor junior engineers and participate in code/design reviews7.

Must-Have Technical Expertise

Programming: Strong skills in Python and advanced SQL expertise8.

Distributed Processing: Experience with frameworks like Apache Spark, Flink, or similar9.

Orchestration: Experience building pipelines using tools like Airflow10.

Data Warehousing: Experience with Snowflake is preferred11.

Fundamentals: Deep understanding of ETL/ELT, data modeling (OLTP & OLAP), and stream processing12.

Process: Familiarity with CI/CD pipelines and version control tools like Git13.

Good to Have

Experience working on any major cloud platform (AWS preferred; GCP or Azure welcome)14.

Exposure to Databricks, dbt, or similar platforms15.

Ready to architect scalable data solutions Apply now!

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