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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:
Application Question(s):
Experience:
Work Location: Remote
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