Senior Data Engineer

About the Role

We are seeking a highly skilled and motivated Data Engineer with 5+ years of experience in designing, building, and maintaining scalable data pipelines. The ideal candidate will have strong expertise in Snowflake, Hadoop ecosystem, PySpark, and SQL, and will play a key role in enabling data-driven decision-making across the organization.

Locations:

All EXL (Pune, Gurugram, Bengaluru, Hyderabad, Noida)

Responsibilities

• Design, develop, and optimize robust data pipelines using PySpark and SQL.
• Implement and manage data warehousing solutions using Snowflake.
• Work with large-scale data processing frameworks within the Hadoop ecosystem.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
• Ensure data quality, integrity, and governance across all data platforms.
• Monitor and troubleshoot data pipeline performance and reliability.
• Automate data workflows and implement best practices for data engineering.

Qualifications

• 5+ years of experience in data engineering or related roles.

Required Skills

• Strong hands-on experience with Snowflake including data modeling, performance tuning, and security.
• Knowledge in PySpark for distributed data processing.
• Solid understanding of Hadoop ecosystem (HDFS, Hive, Spark, etc.).
• Advanced SQL skills for data manipulation and analysis.
• Experience with ETL tools and orchestration frameworks (e.g., Airflow, DBT).
• Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
• Excellent problem-solving and communication skills.