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Senior Data Engineer

Senior Data Engineer

EXL

5 years

0 Lacs

pune maharashtra india

Posted:1 week ago| Platform:

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Skills Required

data hadoop pyspark sql design processing integrity governance pipeline automate engineering tuning hive spark etl orchestration airflow aws azure gcp communication

Work Mode

On-site

Job Type

Full Time

Job Description

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.

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Senior Data Engineer