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EXL

Analyzes business data and runs outsourced operations

Lead OCI Data Engineer

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

About the Job

Requirements

  • Approximately 5 years of IT experience, including at least 4 years as an OCI Data Engineer.
  • Superior analytical and problem-solving skills.
  • Ability to work independently and prepare client-ready deliverables with minimal or no supervision.
  • Good communication skills for client interaction.
  • Exposure to ETL/ELT processes and familiarity with OCI Data Integration or equivalent tools.
  • Strong experience with Oracle Cloud Infrastructure data services, including Object Storage, Data Integration, and OCI Data Flow (Apache Spark).
  • Expertise in SQL, PL/SQL, and performance tuning on Oracle-based databases.
  • Expertise in data warehouse concepts and knowledge of data models implemented on Oracle-based databases.
  • Experience using Python or PySpark for data engineering tasks.
  • Familiarity with data lakehouse concepts and architecture.
  • A systematic problem-solving approach, strong sense of ownership, and drive.
  • Strong proficiency in relational databases and database management systems, preferably Oracle.
  • Experience collaborating with cross-functional teams and managing client and stakeholder expectations.
  • A bachelor's or master's degree in computer science/engineering, operations research, or related analytics areas.
  • Capability to design complex data architecture solutions.
  • Team management capability.
  • Outstanding written and verbal communication skills.
  • Ability to work in a fast-paced, continuously evolving environment and take on challenging work.
  • Ability to understand cross-cultural differences and work with clients across the globe.

Responsibilities

  • Design and implement data pipelines, ETL/ELT workflows, and data models on OCI.
  • Implement data governance, data quality, and data security best practices.
  • Lead the design, development, and implementation of complex data structures, data models, and database schemas using relevant technologies.

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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