EXL

Analyzes business data and runs outsourced operations

Lead Assistant Manager-Data Engineering-Cloud Data Engineering

Data EngineeringConfirmed live in the last 24 hours

Full-timeChennai, Tamil Nadu, IndiaNo salary listedIn-person

About the Job

Requirements

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

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.

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.

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

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.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1999

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