Job Title: Data Engineer (SQL)
Experience: 5–6 Years
Location: Hybrid / Remote
Employment Type: Contract / Full-Time
Job Summary
We are looking for a skilled Data Engineer with 5–6 years of experience in designing, developing, and maintaining scalable data pipelines and enterprise data solutions. The ideal candidate should have strong expertise in SQL, Python, ETL/ELT development, cloud data platforms, and modern data engineering practices.
Key Responsibilities
- Design, develop, and maintain ETL/ELT pipelines.
- Build data ingestion, transformation, and integration workflows.
- Write and optimize complex SQL queries and stored procedures.
- Develop scalable data pipelines using Python and SQL.
- Ensure data quality, validation, and performance optimization.
- Work with cloud data warehouses and large-scale datasets.
- Collaborate with business, analytics, and engineering teams.
- Support production environments and troubleshoot data issues.
- Follow Agile/Scrum and CI/CD best practices.
Required Skills
- 5–6 years of Data Engineering experience.
- Strong SQL and query optimization skills.
- Hands-on experience with Python.
- ETL/ELT development experience.
- Experience with Snowflake, Redshift, Synapse, or similar cloud data warehouses.
- Knowledge of PySpark/Spark and data processing frameworks.
- Experience with AWS, Azure, or GCP.
- Familiarity with Airflow, ADF, or similar orchestration tools.
- Strong understanding of data modeling, data quality, and validation.
- Experience with Git, CI/CD, REST APIs, and Agile methodologies.
Preferred Skills
- Experience with healthcare, banking, or insurance data.
- Exposure to AI-assisted development tools (GitHub Copilot, ChatGPT).
- Cloud certifications are a plus.
Education: Bachelor's or Master's degree in Computer Science, IT, Engineering, or a related field.
Pay: ₹80,000.00 - ₹90,000.00 per month
Experience:
- ETL: 4 years (Required)
- SQL: 4 years (Required)
- Pyspark: 3 years (Required)
Work Location: Remote
