Data Engineer II

Experience Required (Mandatory)

• 5+ Years of total experience in Data Engineering
• Minimum 5 years hands-on experience in Snowflake
• Minimum 3 years hands-on experience in Power BI
• Conceptual knowledge of SAP BW on HANA (no hands-on required)

Job Summary

We are hiring a Data Engineer with strong hands-on experience in Snowflake and Power BI to support enterprise data platforms in a Service Delivery / Application Managed Services (AMS) environment.

The role focuses on data pipeline support, monitoring, performance optimization, issue resolution, and minor enhancements while ensuring SLA-driven operations. Exposure to SAP data landscapes is preferred.

Key Responsibilities

• Provide L2/L3 support for Snowflake data pipelines and Power BI reports.
• Monitor ETL/ELT jobs, data loads, and report refresh cycles.
• Troubleshoot data issues, performance bottlenecks, and failures.
• Implement minor enhancements and optimizations in Snowflake and Power BI.
• Optimize queries, compute warehouses, and data models in Snowflake.
• Maintain and enhance Power BI dashboards and DAX calculations.
• Manage data sources, gateways, refresh schedules, and security (RLS).
• Coordinate with Client Business Groups and SAP teams using conceptual knowledge of SAP BW/HANA.
• Participate in incident, problem, and change management processes.
• Maintain runbooks, documentation, and knowledge articles.

Mandatory Skills

• 5+ years hands-on experience with Snowflake
• 3+ years hands-on experience with Power BI
• Strong SQL and data warehousing concepts
• Experience in production support / AMS environments
• Knowledge of data modeling (star/snowflake schema)
• Experience in incident management and SLA-based support
• Conceptual knowledge of SAP BW on HANA
• Experience with cloud platforms : Azure

Good to Have (Optional)

• Exposure to SAP Datasphere
• Scripting knowledge (Python, Shell, etc.)
• Understanding of ITIL or service delivery processes

Experience Required (Mandatory)

• 5+ Years of total experience in Data Engineering
• Minimum 5 years hands-on experience in Snowflake
• Minimum 3 years hands-on experience in Power BI
• Conceptual knowledge of SAP BW on HANA (no hands-on required)

Job Summary

We are hiring a Data Engineer with strong hands-on experience in Snowflake and Power BI to support enterprise data platforms in a Service Delivery / Application Managed Services (AMS) environment.

The role focuses on data pipeline support, monitoring, performance optimization, issue resolution, and minor enhancements while ensuring SLA-driven operations. Exposure to SAP data landscapes is preferred.

Key Responsibilities

• Provide L2/L3 support for Snowflake data pipelines and Power BI reports.
• Monitor ETL/ELT jobs, data loads, and report refresh cycles.
• Troubleshoot data issues, performance bottlenecks, and failures.
• Implement minor enhancements and optimizations in Snowflake and Power BI.
• Optimize queries, compute warehouses, and data models in Snowflake.
• Maintain and enhance Power BI dashboards and DAX calculations.
• Manage data sources, gateways, refresh schedules, and security (RLS).
• Coordinate with Client Business Groups and SAP teams using conceptual knowledge of SAP BW/HANA.
• Participate in incident, problem, and change management processes.
• Maintain runbooks, documentation, and knowledge articles.

Mandatory Skills

• 5+ years hands-on experience with Snowflake
• 3+ years hands-on experience with Power BI
• Strong SQL and data warehousing concepts
• Experience in production support / AMS environments
• Knowledge of data modeling (star/snowflake schema)
• Experience in incident management and SLA-based support
• Conceptual knowledge of SAP BW on HANA
• Experience with cloud platforms : Azure

Good to Have (Optional)

• Exposure to SAP Datasphere
• Scripting knowledge (Python, Shell, etc.)
• Understanding of ITIL or service delivery processes
  
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