Sr. Data Engineer

Job Title- Senior Data Engineer

Experience- 10–12+ years

Job Summary

Seeking a Senior Data Architect / Lead Data Engineer with strong experience in designing and delivering scalable cloud-based data platforms, analytics solutions, and data pipelines across retail, energy, telecom, and e-commerce domains.

Key Responsibilities

Design and implement end-to-end data architectures and data pipelines on AWS and Azure.

Build and manage ETL/ELT workflows using Python, SQL, PySpark, Kafka, Airflow, and Databricks.

Perform complex data modeling and ensure data quality, validation, and governance.

Support data migration from legacy systems to modern cloud platforms.

Develop BI dashboards and reports using Power BI, Tableau, and Alteryx.

Collaborate with data scientists to productionize ML features and models.

Lead and mentor data engineering teams; coordinate with cross-functional stakeholders.

Ensure production stability, performance optimization, and operational excellence.

Required Skills

Languages: Python, SQL, PL/SQL, PySpark, Shell Scripting

Databases: Oracle, PostgreSQL, MySQL, SQL Server, Snowflake

Cloud: AWS (EC2, S3, EMR), Azure (ADLS, ADF, Databricks)

Big Data & Streaming: Kafka, Databricks, Airflow

BI & Analytics: Power BI, Tableau, Alteryx

Tools: dbt, Git, JIRA, Confluence

Methodologies: Agile (Scrum, Kanban)

Education

MCA / BSc / BE / BTech in Computer Science or related field

Nice to Have

Retail, E-commerce, Energy, or Telecom domain experience

Exposure to ML libraries (Pandas, NumPy, SciPy)

Snowflake or Cloud certifications

Job Types: Full-time, Permanent

Pay: ₹2,500,000.00 - ₹3,000,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Application Question(s):

• Your Current Ctc?
• Are you comfortable for PST time zone? Upto 1:30AM IST.
• What is your notice period?

Experience:

• Data Engineer: 10 years (Preferred)

Work Location: Remote