We are Hiring! Lead Data Engineer | Pune - Onsite

Location: Pune (Full-time)

Experience: 8+ Years

Skills: Python, SQL, Databricks, Spark/Pyspark, ETL

Role Overview:

As a Lead Data Engineer, you will drive the design and development of scalable batch & streaming data pipelines, work with modern Lakehouse/Data Warehouse platforms, and partner with analytics and business teams to enable data-driven decision-making.

Key Responsibilities:

- Data Pipeline Development: Design, build, and maintain high-performance batch and streaming pipelines using PySpark/Scala and Databricks .
- Data Modeling & Architecture: Design productive schemas and curated datasets optimized for speed, scalability, and cost across Lakehouse/Data Warehouse platforms.
- Data Integration: Seamlessly integrate data from APIs, databases, flat files, and streaming sources across cloud platforms.
- Performance Optimization: Identify bottlenecks, tune Spark configurations, and optimize queries for large-scale data processing.




- Data Quality & Governance: Establish data validation checks and quality standards to maintain reliable data platforms.
- Collaboration & Leadership: Partner with Data Scientists, Analysts, and Cloud Engineers while setting technical best practices, version control, and CI/CD standards.

Key Qualifications & Requirements:

- Education: Bachelor's degree in Computer Science, Engineering, or a related field.
- Experience: 8+ years of hands-on experience in Data Engineering.
- Technical Skills:
- Strong expertise in Python, Scala, or Java and high proficiency in SQL .
- Deep experience with Apache Spark (PySpark/Scala) and Databricks .
- Familiarity with cloud platforms ( AWS, Azure, or GCP ) and data warehouses ( Snowflake, Redshift, etc. ).
- Sound knowledge of data modeling principles, ETL design patterns, and big data frameworks.

📌 Lead Data Engineer (Pune)
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