About this role

Core Technical Skills

  • Strong Python programming experience
  • Advanced SQL
  • DBT development
  • Google BigQuery
  • PySpark
  • Data engineering and ETL/ELT pipeline development
  • Data validation and reconciliation
  • Data migration experience

Python Libraries & Frameworks

  • Pandas
  • NumPy
  • PyArrow
  • Pytest
  • Great Expectations or similar data quality framework
  • Google Cloud Python SDK

GCP Services

  • BigQuery
  • Cloud Storage
  • Cloud Composer / Airflow
  • Dataproc
  • Dataflow
  • IAM
  • Cloud Logging and Monitoring

SAS Migration & Code Conversion

  • Analyse existing SAS datasets, SAS programs, PROC SQL, Data Steps, and SAS macros.
  • Convert SAS business logic into Python, SQL, PySpark, and DBT models.
  • Support migration of historical and incremental SAS data into GCP.
  • Document SAS-to-GCP transformation logic and technical conversion rules.
  • Assist in identifying reusable patterns for SAS macro conversion.

Python Data Engineering

  • Develop Python-based data processing, automation, and validation scripts.
  • Build reusable Python frameworks for data ingestion, transformation, and reconciliation.
  • Use Python libraries such as Pandas, NumPy, PyArrow, and Google Cloud SDK.
  • Automate data quality checks, file processing, metadata extraction, and exception reporting.
  • Develop utilities to compare SAS outputs with GCP outputs.

DBT & BigQuery Development

  • Develop and maintain DBT models for transformation logic.
  • Convert SAS PROC SQL logic into DBT SQL models.
  • Implement DBT tests for data quality, uniqueness, referential integrity, and business rules.
  • Support Bronze, Silver, and Gold layer implementation in BigQuery.
  • Optimize SQL queries and BigQuery tables for performance and cost efficiency.

GCP Data Pipeline Development

  • Build scalable data pipelines using GCP services such as: 
    • BigQuery
    • Cloud Storage
    • Cloud Composer / Airflow
    • Dataproc
    • Dataflow
    • Cloud Functions
  • Develop batch and incremental data processing workflows.
  • Support orchestration, monitoring, and production deployment of pipelines.
  • Implement secure data movement from legacy SAS platforms to GCP.

Data Quality, Validation & Reconciliation

  • Perform source-to-target reconciliation between SAS and GCP.
  • Validate record counts, financial totals, business rules, and derived metrics.
  • Investigate and resolve data mismatches and transformation defects.
  • Build automated reconciliation reports using Python and SQL.
  • Support SIT, UAT, regression testing, and production validation.

Graduate in Computer Science, Data Science, or related field. 2-3 years of experience in data engineering or related field.

EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.


EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.

Frequently Asked Questions

Is the salary disclosed for the Assistant Manager position at EXL Talent Acquisition Team?
The salary for this Assistant Manager role at EXL Talent Acquisition Team is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Assistant Manager position at EXL Talent Acquisition Team located?
This Assistant Manager role at EXL Talent Acquisition Team is based in Pune, Maharashtra, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Assistant Manager position at EXL Talent Acquisition Team?
Click the "Apply Now" button on this page. You will be redirected to EXL Talent Acquisition Team's official application portal hosted on oraclecloud where you can submit your application directly.
When was the Assistant Manager job at EXL Talent Acquisition Team posted?
This Assistant Manager position at EXL Talent Acquisition Team was posted on Aug 31, 2026. Apply as soon as possible — early applications are often reviewed first.
Assistant Manager
EXL Talent Acquisition Team
Apply for this role ↗

You'll be redirected to EXL Talent Acquisition Team's official application page on oraclecloud.