We are looking for a highly skilled Senior Data Engineer with strong hands-on experience in Snowflake, AWS, Python, SQL, and data pipeline development.
The ideal candidate should have experience designing, developing, and maintaining scalable ETL/ELT pipelines and cloud-based data solutions.
Mandatory Skills
- Strong hands-on experience with Snowflake
- Strong proficiency in Python and SQL
- Experience with ETL/ELT and Data Pipeline Development
- Hands-on experience with AWS Glue, including:
- Glue Jobs
- Glue Crawlers
- Glue Data Catalog
- Workflow orchestration
- Experience with AWS services such as S3, Lambda, and Step Functions
- Strong knowledge of SQL Stored Procedures and Query Optimization
- Experience with data warehousing and data modeling
- Knowledge of Git and CI/CD workflows
- Experience with cloud data pipeline monitoring, troubleshooting, and performance optimization
Good to Have
- Experience with API-based data ingestion
- Knowledge of DBT, Airflow, PySpark, or Databricks
- Exposure to retail data such as sales, customer, product, inventory, or workforce data
Eligibility
- 3–5 years of overall Data Engineering experience
- Minimum 1–2 years of hands-on Snowflake experience
- Strong communication and problem-solving skills
- Candidates should be open to working from any of the mentioned locations
- Immediate joiners required
Interested candidates can apply with their updated resume.
Pay: ₹1,500,000.00 - ₹2,800,000.00 per year
Benefits:
- Commuter assistance
- Health insurance
- Provident Fund
Work Location: Hybrid remote in Pune, Maharashtra (Pune, Pune District)
