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 settings.
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 (India)
🏢 Anblicks Solutions
📍 India