Sr. Data Engineer

Ness Digital Engineering; Mumbai; On-site; INR 2,500,000 - 3,800,000; Part time

Job summary

Ness Digital Engineering in India is seeking a Sr. Data Engineer specialized in SAS ETL to design and maintain scalable data pipelines, enabling reporting and analytics.

Responsibilities include SAS ETL development, advanced SQL, data integration, data cleansing for regulatory compliance, and collaboration with stakeholders to translate requirements into technical solutions. Knowledge of SAS tools, data warehousing concepts, and experience with large relational databases is required; insurance

Qualifications

• 6–8 years of hands-on SAS ETL development experience.
• Strong proficiency in SQL including joins, window functions, and 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 with large relational databases (Oracle, SQL Server, Teradata, etc.).
• Strong analytical and problem-solving skills.

Responsibilities

• Design, develop, and maintain ETL workflows using SAS tools.
• Develop and optimize complex SQL queries for large datasets.
• Integrate data from multiple sources and third-party providers.
• Perform data cleansing, transformation, and validation for quality and compliance.
• Collaborate with stakeholders to translate requirements into technical solutions.

Skills

SAS ETL development

SQL

SAS tools

Data warehousing

Relational databases

Analytical skills

Tools

SAS DI Studio

SAS Base

SAS Enterprise Guide

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).
• 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