Sr. Data Engineer

Ness Digital Engineering; Hyderabad; On-site; INR 900,000 - 1,500,000; Part time

Job summary

Ness Digital Engineering is seeking a SAS ETL Expert to support data integration and analytics initiatives. The role involves building scalable ETL pipelines that enable reporting, regulatory compliance, and business insights.

The candidate will design, develop, and optimize ETL workflows, work with SAS tools, and ensure data quality and governance across large datasets. Strong SQL and data warehousing knowledge are essential for success.

Qualifications

• 6–8 years of SAS ETL development experience.
• Strong SQL skills including joins and window functions.
• Experience with SAS tools: Base SAS, SAS DI Studio, and SAS Enterprise Guide.
• Experience with data warehousing concepts and ETL frameworks.
• Experience with large relational databases (Oracle, SQL Server, Teradata).
• Strong analytical and problem-solving abilities.

Responsibilities

• Design, develop, and maintain ETL workflows using SAS (Base SAS, SAS DI Studio, etc.).
• Develop and optimize complex SQL queries for large-scale datasets.
• Integrate data from multiple sources and third‑party data providers.
• Perform data cleansing, transformation, and validation to ensure high data quality and regulatory compliance.
• Collaborate with business stakeholders to translate requirements into technical solutions and support reporting and analytics needs.
• Implement and maintain data governance and audit controls aligned with domain.
• Optimize ETL performance and ensure scalability of data pipelines.
• Troubleshoot and resolve data issues across upstream and downstream systems.
• Maintain comprehensive documentation of ETL processes and data mappings.

Skills

SAS ETL development

SQL proficiency

SAS tools knowledge

Data warehousing concepts

Relational databases

Analytical skills

Tools

Base SAS

SAS DI Studio

SAS Enterprise Guide

Oracle

SQL Server

Teradata

Job description

Job Title

Sr. Data Engineer – SAS ETL

Experience

6–8 Years

Employment Type

Contract (6 Months, extendable based on performance and project needs)

Location

Bangalore (Hyderabad, Pune, Mumbai)

Job Summary

We are looking for a SAS ETL Expert with strong SQL expertise to support data integration and analytics initiatives. The role involves building scalable ETL pipelines that enable reporting, regulatory compliance, and business insights.

Key Responsibilities

• Design, develop, and maintain ETL workflows using SAS (Base SAS, SAS DI Studio, etc.).
• Develop and optimize complex SQL queries for large-scale datasets.
• Integrate data from multiple sources and third‑party data providers.
• Perform data cleansing, transformation, and validation to ensure high data quality and regulatory compliance.
• Collaborate with business stakeholders to translate requirements into technical solutions and support reporting and analytics needs
• Implement and maintain data governance and audit controls aligned with domain.
• Optimize ETL performance and ensure scalability of data pipelines.
• Troubleshoot and resolve data issues across upstream and downstream systems.
• Maintain comprehensive documentation of ETL processes and data mappings.

Required Skills & Qualifications

• 6–8 years of hands‑on experience in SAS ETL development.
• Strong proficiency in SQL (joins, window functions, performance tuning).
• Experience with SAS tools such as Base SAS, SAS DI Studio, or SAS Enterprise Guide.
• Knowledge of data warehousing concepts, ETL frameworks, and best practices.
• Experience working with large relational databases (Oracle, SQL Server, Teradata, etc.).
• Strong analytical and problem‑solving skills.

Good‑to‑Have Skills

• Experience with Python for automation, data processing, or analytics.
• Familiarity with Tableau for dashboards and reporting.
• Understanding of insurance data models (Policy, Claims, Underwriting, Premiums, Losses), familiarity with regulatory and compliance requirements in insurance (e.g., reporting, audit, data traceability) is good to have.
• Experience with cloud platforms (AWS, Azure, or GCP) is a plus.

Contract Details

• Initial contract duration: 6 months
• Extension: Based on performance and project requirements