SAP Data Services (SAP BODS), India Remote

Snowrelic Inc; India; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Snowrelic Inc in India is searching for a skilled Data Engineer to design and maintain scalable data integration solutions. The ideal candidate will have 4 to 6 years of experience in ETL development and a strong expertise in SAP Data Services.

Responsibilities include developing ETL workflows, optimizing data pipelines, and ensuring data quality. The role requires collaboration with both business and technical teams to translate data requirements into efficient solutions.

Qualifications

• Total 4 to 6 years of experience working as Data Engineer or ETL Developer.
• Strong analytical and problem-solving abilities.
• Experience with data transformation and data quality monitoring.

Responsibilities

• Design, develop, and maintain ETL workflows using SAP Data Services.
• Build and optimize data pipelines for transformation and cleansing.
• Monitor data quality, integrity, and pipeline performance.

Skills

ETL development

SAP Data Services

SQL

Teradata

data modeling

AWS cloud platforms

Python scripting

Job description

Skilled Data Engineer with expertise in SAP Data Services (SAP BODS) to design, build, and maintain scalable data integration and transformation solutions. The role involves working closely with business and technical teams to deliver high-quality, reliable data pipelines.

Key Responsibilities

• Design, develop, and maintain ETL workflows using SAP Data Services and related enterprise data integration tools.
• Build and optimize data pipelines for transformation, cleansing, enrichment, and migration across multiple systems.
• Optimize ETL jobs for performance, scalability and error handling.
• Perform advanced SQL development, tuning, and analytical queries.
• Support production operations for data platforms, including issue troubleshooting, root cause analysis, and incident resolution.
• Troubleshoot and resolve ETL issues and production incidents.
• Collaborate with business and technical teams to translate data requirements into scalable solutions.
• Monitor data quality, integrity, and pipeline performance to ensure SLA adherence.
• Implement automation and process improvements to enhance operational efficiency.
• Participate in agile ceremonies and contribute to sprint-based enhancement delivery.

Technical Skills

• Strong hands-on experience in ETL development and data transformation
• Expertise in SAP Data Services
• Advanced proficiency in SQL and Teradata
• Experience with enterprise data warehousing principles, ETL/ELT concepts
• Strong data modeling skill
• Knowledge of data mapping, data lineage, and integration frameworks
• Familiarity with data quality monitoring and optimization techniques
• Understanding of batch processing and production support models

Experience

• Total 4 to 6 years of experience working as Data Engineer/ETL Developer or related role

Preferred Skills

• Experience with AWS cloud platforms
• Python scripting experience
• Knowledge of data governance frameworks

Functional Skills

• Strong analytical and problem-solving abilities
• Experience in managed services or support-based delivery models
• Ability to handle production issues and operational escalations
• Agile collaboration and stakeholder engagement