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EXL

Assistant Manager

EXL

. Analyze SAS programs, PROC SQL code, and SAS datasets .

Posted 9/18/2026full-timeBengaluru • IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in data engineering with a strong focus on SQL, DBT, and Google Cloud Platform services. Capable of developing and maintaining ELT pipelines, implementing data quality validations, and supporting cloud migration projects.

Highest-signal resume keywords
SQLDBTBigQueryData EngineeringGoogle Cloud Platform

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SASPROC SQLPythonData WarehousingData TransformationData Quality ValidationELT PipelinesDimensional ModelingSource-to-Target MappingData Lineage
Tools & Technologies
GCPCloud StorageDataprocCloud ComposerGitGitHub
Industry Keywords
Data MigrationSAS ETLData ModelsFact TablesDimension Tables

Tech Stack

Tools & technologies
AirflowBigQueryCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact
  • Analyze SAS programs, PROC SQL code, and SAS datasets
  • Convert SAS transformation logic into DBT models and SQL transformations
  • Support migration of data from legacy SAS environments to GCP
  • Participate in code conversion, testing, and reconciliation activities
  • Develop and maintain ELT pipelines using DBT and BigQuery
  • Build reusable transformation models following DBT best practices
  • Implement data ingestion and processing workflows
  • Support batch and incremental data processing requirements
  • Develop SQL-based transformations for Bronze, Silver, and Gold layers
  • Implement business rules and data quality validations
  • Support dimensional models, fact tables, and dimension tables
  • Assist Data Modelers and Architects in implementing target-state data models
  • Perform source-to-target validation and reconciliation
  • Support automated testing using DBT tests
  • Investigate and resolve data quality issues
  • Ensure completeness, accuracy, and consistency of migrated data
  • Work with GCP services including BigQuery, Cloud Storage, Dataproc, and Cloud Composer (Airflow)

Requirements

What you’ll need
  • Graduate in Computer Science, Data Science, or related field
  • 2-3 years of experience in data engineering or related field
  • Hands-on experience in SQL, DBT, Python, BigQuery, and data warehousing concepts
  • Exposure to SAS environments and cloud migration projects
  • Knowledge of Google Cloud Platform services, including BigQuery, Cloud Storage, Dataproc, and Cloud Composer (Airflow)
  • Knowledge of Git/GitHub
  • Understanding of SAS datasets, PROC SQL, SAS ETL concepts, and SAS code analysis
  • Understanding of star schema, dimension and fact tables, source-to-target mapping, and data lineage concepts

Benefits

Comp & perks
  • Hybrid work arrangement