Key Responsibilities

- Design and develop high-performance, scalable data pipelines using PySpark, SQL, and cloud platforms.
- Optimize distributed data processing for improved efficiency and reliability.
- Implement best practices in data modeling, architecture, and governance.
- Ensure data integrity, security, and compliance within cloud environments.
- Automate data workflows, monitor pipeline performance, and troubleshoot issues proactively.
- Provide technical leadership and mentorship to junior engineers, conduct code reviews, and establish best practices.

Required Skills & Experience

- 4+ years of hands-on experience in Data Engineering with expertise in Python, PySpark,Spark, SQL, and Cloud platforms.
- Solid proficiency in Snowflake, Databricks, or Microsoft Fabric.
- Solid experience in data architecture, modeling, and pipeline optimization.
- Hands-on experience with workflow orchestration tools (e.g., Airflow, DBT).
- Proven ability to mentor and lead junior engineers while driving best practices in data engineering.

📌 Senior Data Engineer (Ahmedabad)
🏢 Anblicks Solutions
📍 Ahmedabad