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EXL

Analyzes business data and runs outsourced operations

Teradata Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeChennai, Tamil Nadu, IndiaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree and at least 8 years of IT experience, or, in lieu of a degree, a high school diploma/GED and 5 or more years of experience in Teradata, with proficiency in BTEQ scripts.
  • Strong database concepts.
  • Communication skills.
  • Solution orientation and problem-solving skills.
  • Reporting and data visualization experience with QlikView or Power BI.
  • Strong analytical ability.
  • Teamwork and interpersonal skills.
  • Hands-on experience in Teradata development and proficiency with BTEQ scripts, including the ability to understand complex SQL logic, joins, and procedures.
  • Experience optimizing Data Warehousing/Data Mart applications, including Teradata query tuning and developing physical data models from logical models in Teradata.
  • In-depth understanding of Teradata architecture and concepts, including PE, Bynet, Vdisks, AMPs, Vprocs, indexing, hashing, and data distribution/duplication.
  • Ability to select appropriate database indexes (NUPI, UPI, NUSI, USI) to support data loading and extraction operations and optimize database storage and access performance.
  • Experience analyzing long-running queries and jobs and identifying root causes using Explain Plan, Access Path, full table scans, number of AMP operations, statistics, confidence level, and join strategy.
  • Ability to monitor CPU consumption, disk-space issues, and operational parameters, and troubleshoot to reduce CPU consumption and batch-processing time to meet production-cycle SLAs.
  • Experience understanding spool space, AMP skewness, and hot AMP issues and providing solutions.
  • Ability to work with TDBA/Teradata administrators to understand provided solutions and translate them into technical or application-level implementations that improve SQL performance.

Responsibilities

  • Develop, enhance, administer, and support large data platforms spanning business data landscapes and data warehouse systems to streamline and improve business application performance and meet production-cycle SLAs.
  • Follow application design standards and frameworks related to model deployment and execution.
  • Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increase data accessibility, and support data-driven decision-making.
  • Ensure data deployments meet high quality and standards.

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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