Senior Data Engineer – Snowflake & AWS

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:

• Health insurance
• Provident Fund

Work Location: Hybrid remote in Pune, Maharashtra (Pune, Pune District)