Job Title: Senior Data Engineer
Experience: 5+ Years
Location: Remote
Employment Type: Full-Time
Job Summary
We are looking for an experienced Senior Data Engineer with robust hands-on expertise in SQL development, ETL/ELT, data pipeline architecture, and data integration.
The ideal candidate should be highly proficient in writing complex SQL queries and stored procedures and have experience building scalable batch and near-real-time data pipelines.
Key Responsibilities
- Develop complex and optimized SQL queries and stored procedures.
- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Build batch and near-real-time data processing workflows.
- Optimize SQL queries, data pipelines, and data infrastructure for performance.
- Integrate data from enterprise applications and third-party systems.
- Ensure data quality, reliability, scalability, and performance.
- Collaborate with Data Engineering, Analytics, and Business teams.
- Troubleshoot data pipeline and integration issues.
Required Skills
- 5+ years of experience in Data Engineering.
- Strong hands-on experience with SQL.
- Advanced SQL queries, joins, CTEs,
window functions, and stored procedures.
- Strong understanding of ETL/ELT processes.
- Experience designing and developing scalable data pipelines.
- Experience with batch and near-real-time data processing.
- Hands-on experience with one or more:
- Apache Airflow
- Azure Data Factory (ADF)
- Informatica
- Matillion
- dbt
- Equivalent data orchestration/transformation tools
- Experience integrating data from SAP, Salesforce, Shopify, or similar enterprise applications.
Preferred Skills
- Snowflake experience is highly preferred.
- Data warehousing concepts.
- Cloud data platforms.
- Data pipeline performance optimization.
- Data quality and data governance.
Ideal Candidate
We are looking for candidates who have a strong SQL/Data Engineering background, rather than candidates focused only on reporting or data analysis.
How to Apply
Interested candidates can share their updated resume:
Email:
[email protected]
Call / WhatsApp: +91-XXXXXXXXXX
Work Location: In person
📌 Senior Data Engineer (India)
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📍 India