EXL

Analyzes business data and runs outsourced operations

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeGurugram, Haryana, IndiaNo salary listedIn-person

About the Job

Requirements

Strong hands-on experience with distributed systems and big data technologies, including Hadoop, Spark, Hive, DBT, and Airflow or Dagster.
A minimum of 4 years of production-quality coding experience in Python focused on data pipeline development.
Experience working with cloud platforms, preferably AWS.
Experience with Databricks and/or Snowflake.
Proficiency in Git, JIRA, Jenkins, and shell scripting.
Good understanding of Agile methodologies, source control management, test automation, and test-driven development.
Experience working with cross-functional teams in fast-paced and dynamic environments.
A proven track record of building fast, scalable, reliable, and high-quality data pipelines.
A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
At least 6 years of experience in Data Engineering or related roles.
Ability to work independently while collaborating effectively with distributed teams and the client.

Responsibilities

Build services that integrate directly with Lending Club's products and external vendors.
Work with Hadoop, Spark, DBT, Dagster or Airflow, Atlan, Trino, Databricks, Snowflake, and AWS cloud technologies.
Identify, design, and implement automation for manual processes, optimize data delivery, and reduce cloud costs.
Implement processes and systems to monitor data quality, observability, governance, and lineage.
Support operations by managing the production environment and resolving production issues through root-cause analysis.
Write unit and integration tests, adopt test-driven development, contribute to the engineering wiki, and document designs and implementations.

Desired Qualifications

Experience building data pipelines for digital marketing use cases.

Role Overview:

We are looking for a highly skilled and motivated Senior Data Engineer to join our growing data engineering team.

Key Responsibilities:

In this role, you will build services that will integrate directly with Lending Club’s products and with external vendors. you
You will work with modern data technologies such as Hadoop, Spark, DBT, Dagster/Airflow, Atlan, Trino, etc., modern data platforms such as Databricks and Snowflake and cloud technologies across AWS stack
Identify, design, and implement automation of manual processes, optimizing data delivery, reducing Cloud cost, etc.
Implement processes and systems to monitor Data Quality, Observability, Governance and Lineage.
Support operations to manage the production environment and help in resolving production issues with RCA
Write unit/integration tests, adopt Test-driven development, contribute to engineering wiki, and document design/implementation etc.

Skills required:

Strong hands-on experience with distributed systems and big data technologies, including Hadoop, Spark, Hive, DBT, and Airflow/Dagster.
Minimum 4 years of solid production-quality coding experience in Python focused on data pipeline development.
Experience working with cloud platforms, preferably AWS.
Experience with Databricks and/or Snowflake.
Proficiency in Git, JIRA, Jenkins, and shell scripting.
Good understanding of Agile methodologies, source control management, test automation, and Test-Driven Development.
Experience working with cross-functional teams in fast-paced and dynamic environments.
Strong analytical, collaborative problem-solving, and communication skills.
Proven track record of building fast, scalable, reliable, and high-quality data pipelines.

Nice to Have:

Experience building data pipelines for Digital Marketing use cases.

Required Qualifications:

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
6+ years of experience in Data Engineering or related roles
Self-driven and proactive mindset.
Strong ownership and accountability and communication skills. Passion for building scalable and maintainable data systems.
Ability to work independently while collaborating effectively with distributed teams and client.

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
6+ years of experience in Data Engineering or related roles
Self-driven and proactive mindset.
Strong ownership and accountability and communication skills. Passion for building scalable and maintainable data systems.
Ability to work independently while collaborating effectively with distributed teams and client.

In this role, you will build services that will integrate directly with Lending Club’s products and with external vendors. you
You will work with modern data technologies such as Hadoop, Spark, DBT, Dagster/Airflow, Atlan, Trino, etc., modern data platforms such as Databricks and Snowflake and cloud technologies across AWS stack
Identify, design, and implement automation of manual processes, optimizing data delivery, reducing Cloud cost, etc.
Implement processes and systems to monitor Data Quality, Observability, Governance and Lineage.
Support operations to manage the production environment and help in resolving production issues with RCA
Write unit/integration tests, adopt Test-driven development, contribute to engineering wiki, and document design/implementation etc.

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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