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Manager

EXL

Posted 8 Sept 2026

HyderabadHigh payGreat Place to Work
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Core Technologies

  • DBT (Data Build Tool)
  • Google BigQuery
  • SQL
  • Python
  • PySpark
  • Git

GCP Services

  • BigQuery
  • Cloud Storage
  • Dataproc
  • Cloud Composer (Airflow)
  • Dataflow
  • IAM

SAS Technologies

  • SAS Base
  • SAS Enterprise Guide
  • PROC SQL
  • SAS Macros
  • SAS Data Sets

Data Engineering

  • ETL / ELT Development
  • Data Warehousing
  • Data Pipeline Design
  • Performance Optimization
  • Data Validation & Reconciliation

Data Modeling

  • Star Schema
  • Snowflake Schema
  • Dimensional Modeling
  • Source-to-Target Mapping

Responsibilities

  • SAS Migration & Modernization

    • Analyze existing SAS datasets, ETL jobs, PROC SQL code, and SAS macros.
    • Convert SAS transformation logic into DBT models and cloud-native data pipelines.
    • Support migration of historical and incremental data from SAS platforms to GCP.
    • Participate in migration assessments, code conversion, and reconciliation activities.

    Data Engineering & Development

    • Design and develop scalable ELT pipelines using DBT and BigQuery.
    • Build and optimize data ingestion, transformation, and aggregation processes.
    • Develop reusable and modular DBT models following best practices.
    • Implement performance tuning for SQL and BigQuery workloads.
    • Create and maintain data lineage and metadata documentation.

    Data Quality & Reconciliation

    • Design and implement data quality validation frameworks.
    • Perform source-to-target reconciliation between SAS and GCP platforms.
    • Investigate and resolve data inconsistencies and migration issues.
    • Support automated testing and monitoring of data pipelines.

    Cloud Platform Development

    • Build and manage solutions using: 
      • BigQuery
      • Cloud Storage
      • Dataproc
      • Cloud Composer (Airflow)
      • Dataflow
    • Support data security, access controls, and governance requirements.

    Collaboration & Delivery

    • Work closely with Data Architects, Business Analysts, Data Modelers, and QA teams.
    • Participate in design reviews and sprint planning sessions.
    • Estimate effort and provide technical input during project planning.
    • Mentor junior engineers and enforce engineering best practices.

Qualifications

  • Graduate in Computer Science, Data Science, or related field. 4-6 years of experience in data engineering or related field.