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EXL

Analyzes business data and runs outsourced operations

Assistant Manager

Data EngineeringConfirmed live in the last 24 hours
Full-timeGurugram, Haryana, IndiaNo salary listedIn-person

About the Job

Requirements

  • Proficiency with GCP big data technologies including BigQuery, Dataproc, Airflow, Dataflow, and Pub/Sub.
  • Experience or knowledge designing scalable and efficient data models for OLAP and OLTP use cases.
  • Expertise building automated, scalable, and reliable ETL/ELT pipelines using Python, Scala, or Cloud Data Fusion.
  • Strong coding skills in Python and SQL, with Java or Scala as optional languages.
  • Familiarity with APIs and software development kits for GCP services.
  • Understanding of GCP services including Cloud Storage, Compute Engine, and Cloud Functions.
  • Experience setting up continuous integration and continuous delivery pipelines using Cloud Build, GitHub Actions, or other tools.
  • Experience with monitoring and logging tools such as Cloud Monitoring and Cloud Logging for production workflows.
  • A graduate qualification in Computer Science, Data Science, Information Technology, or a related field.
  • Four to six years of experience in big data engineering or data management.

Responsibilities

  • Build automated, scalable, and reliable ETL/ELT data pipelines.
  • Design scalable and efficient data models for OLAP and OLTP use cases.
  • Develop custom data solutions using GCP service APIs and software development kits.
  • Deploy data pipelines using Kubernetes and containerization.
  • Set up continuous integration and continuous delivery pipelines.
  • Monitor and log production workflows.
  • Prototype and experiment with GCP tools or third-party integrations.
  • Transform raw data into actionable insights.

Desired Qualifications

  • High-level knowledge of Dataflow for stream and batch data processing.
  • High-level knowledge of Pub/Sub for real-time messaging and event ingestion.
  • Familiarity with Kubernetes, including Google Kubernetes Engine, and containerization for deploying data pipelines.
  • Optional proficiency in Java or Scala.
  • Ability to explore new GCP features and adapt to changes in cloud technology.
  • Ability to collaborate with data analysts and business stakeholders.
  • Strong verbal and written communication skills for explaining technical concepts to non-technical audiences.

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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