Senior Manager

EXL

. Analyze existing SAS datasets, ETL jobs, PROC SQL code, and SAS macros .

Posted 10/6/2026full-timePune • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong expertise in SQL, Python, and DBT for building scalable data pipelines and performing data migration to GCP. Proficient in data quality validation, performance tuning, and maintaining data lineage documentation.

Highest-signal resume keywords

SQL ExpertiseDBT Model DevelopmentBigQuery OptimizationData Migration ExperienceData Quality Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonPySparkDBTBigQueryData WarehousingETLData IngestionData TransformationData Aggregation

Tools & Technologies

GCPCloud StorageDataprocCloud ComposerDataflowGit

Industry Keywords

Data EngineeringData MigrationData QualityData LineageMetadata Documentation

Tech Stack

Tools & technologies

AirflowBigQueryCloudETLGoogle Cloud PlatformPySparkPythonSQL

About the role

Key responsibilities & impact

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
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
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

Requirements

What you’ll need

Graduate in Computer Science, Data Science, or related field
6-8 years of experience in data engineering or related field
Strong expertise in SQL, Python, PySpark, DBT, BigQuery, and data warehousing concepts
Experience in large-scale data migration and modernization initiatives
Knowledge of Git
Knowledge of GCP services including BigQuery, Cloud Storage, Dataproc, Cloud Composer (Airflow), Dataflow, and IAM