Senior Data Migration and ETL Developer
Kpmg India Services Llp
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Senior Data Migration and ETL Developer
Kpmg India Services Llp
Bengaluru/Bangalore
Not disclosed
Job Details
Job Description
Consultant
Role Overview:
We are seeking a highly skilled Senior Developer specializing in Data Migration and ETL to lead complex data integration initiatives across enterprise platforms. The ideal candidate will have extensive experience in SAP S/4HANA, Azure Databricks, and Azure Data Factory (ADF), ensuring seamless migration, transformation, and orchestration of large-scale datasets in a secure and efficient manner.
Key Responsibilities:
- Design & Develop ETL Pipelines:
Build and optimize end-to-end ETL workflows for migrating data from SAP S/4HANA and other source systems into target platforms using ADF and Databricks. - Data Migration Strategy:
Implement robust migration frameworks, including staging, transformation, and reconciliation processes, ensuring data integrity and compliance with business rules. - Integration with SAP Ecosystem:
Utilize SAP Data Provisioning Agent and connectors for extracting data from ECC/S4HANA, BW, and Datasphere, integrating with Databricks Lakehouse for advanced analytics. - Performance Optimization:
Tune Spark jobs, cluster configurations, and ADF pipelines for high throughput and cost efficiency. - Governance & Security:
Apply best practices for data governance, metadata management, and secure data handling across environments (Dev, QA, Prod). - Collaboration:
Work closely with architects, data engineers, and business stakeholders to align migration activities with enterprise data strategy.
Required Skills & Experience:
- Technical Expertise:
- SAP S/4HANA data extraction and integration patterns with expertise on using Data Migration cockpit, Data services.
- Azure Data Factory (ADF) orchestration and pipeline development.
- Azure Databricks (PySpark, Delta Lake, Unity Catalog).
- Strong SQL and Python skills for data transformation.
- Data Architecture Knowledge:
- Experience with ADLS Gen2, hierarchical namespaces, and Delta Lake format.
- Familiarity with Common Data Model (CDM) and enterprise data platforms.
- ETL & Migration Frameworks:
- Hands-on experience with staging, mapping, reconciliation dashboards, and metadata-driven transformations.
- Cloud & Big Data Ecosystem:
- Understanding of Azure Integration Services and hyperscaler tools (ADF, AWS Glue, etc.).
- Soft Skills:
- Strong problem-solving, analytical thinking, and stakeholder communication.
- Ability to lead migration projects and mentor junior developers.
Preferred Qualifications:
- 5+ years of experience in data engineering and migration projects.
- SAP certification or proven experience in SAP data integration.
- Experience in Agile delivery and CI/CD practices.
Role Overview:
We are seeking a highly skilled Senior Developer specializing in Data Migration and ETL to lead complex data integration initiatives across enterprise platforms. The ideal candidate will have extensive experience in SAP S/4HANA, Azure Databricks, and Azure Data Factory (ADF), ensuring seamless migration, transformation, and orchestration of large-scale datasets in a secure and efficient manner.
Key Responsibilities:
- Design & Develop ETL Pipelines:
Build and optimize end-to-end ETL workflows for migrating data from SAP S/4HANA and other source systems into target platforms using ADF and Databricks. - Data Migration Strategy:
Implement robust migration frameworks, including staging, transformation, and reconciliation processes, ensuring data integrity and compliance with business rules. - Integration with SAP Ecosystem:
Utilize SAP Data Provisioning Agent and connectors for extracting data from ECC/S4HANA, BW, and Datasphere, integrating with Databricks Lakehouse for advanced analytics. - Performance Optimization:
Tune Spark jobs, cluster configurations, and ADF pipelines for high throughput and cost efficiency. - Governance & Security:
Apply best practices for data governance, metadata management, and secure data handling across environments (Dev, QA, Prod). - Collaboration:
Work closely with architects, data engineers, and business stakeholders to align migration activities with enterprise data strategy.
Required Skills & Experience:
- Technical Expertise:
- SAP S/4HANA data extraction and integration patterns with expertise on using Data Migration cockpit, Data services.
- Azure Data Factory (ADF) orchestration and pipeline development.
- Azure Databricks (PySpark, Delta Lake, Unity Catalog).
- Strong SQL and Python skills for data transformation.
- Data Architecture Knowledge:
- Experience with ADLS Gen2, hierarchical namespaces, and Delta Lake format.
- Familiarity with Common Data Model (CDM) and enterprise data platforms.
- ETL & Migration Frameworks:
- Hands-on experience with staging, mapping, reconciliation dashboards, and metadata-driven transformations.
- Cloud & Big Data Ecosystem:
- Understanding of Azure Integration Services and hyperscaler tools (ADF, AWS Glue, etc.).
- Soft Skills:
- Strong problem-solving, analytical thinking, and stakeholder communication.
- Ability to lead migration projects and mentor junior developers.
Preferred Qualifications:
- 5+ years of experience in data engineering and migration projects.
- SAP certification or proven experience in SAP data integration.
- Experience in Agile delivery and CI/CD practices.
Role Overview:
We are seeking a highly skilled Senior Developer specializing in Data Migration and ETL to lead complex data integration initiatives across enterprise platforms. The ideal candidate will have extensive experience in SAP S/4HANA, Azure Databricks, and Azure Data Factory (ADF), ensuring seamless migration, transformation, and orchestration of large-scale datasets in a secure and efficient manner.
Key Responsibilities:
- Design & Develop ETL Pipelines:
Build and optimize end-to-end ETL workflows for migrating data from SAP S/4HANA and other source systems into target platforms using ADF and Databricks. - Data Migration Strategy:
Implement robust migration frameworks, including staging, transformation, and reconciliation processes, ensuring data integrity and compliance with business rules. - Integration with SAP Ecosystem:
Utilize SAP Data Provisioning Agent and connectors for extracting data from ECC/S4HANA, BW, and Datasphere, integrating with Databricks Lakehouse for advanced analytics. - Performance Optimization:
Tune Spark jobs, cluster configurations, and ADF pipelines for high throughput and cost efficiency. - Governance & Security:
Apply best practices for data governance, metadata management, and secure data handling across environments (Dev, QA, Prod). - Collaboration:
Work closely with architects, data engineers, and business stakeholders to align migration activities with enterprise data strategy.
Required Skills & Experience:
- Technical Expertise:
- SAP S/4HANA data extraction and integration patterns with expertise on using Data Migration cockpit, Data services.
- Azure Data Factory (ADF) orchestration and pipeline development.
- Azure Databricks (PySpark, Delta Lake, Unity Catalog).
- Strong SQL and Python skills for data transformation.
- Data Architecture Knowledge:
- Experience with ADLS Gen2, hierarchical namespaces, and Delta Lake format.
- Familiarity with Common Data Model (CDM) and enterprise data platforms.
- ETL & Migration Frameworks:
- Hands-on experience with staging, mapping, reconciliation dashboards, and metadata-driven transformations.
- Cloud & Big Data Ecosystem:
- Understanding of Azure Integration Services and hyperscaler tools (ADF, AWS Glue, etc.).
- Soft Skills:
- Strong problem-solving, analytical thinking, and stakeholder communication.
- Ability to lead migration projects and mentor junior developers.
Preferred Qualifications:
- 5+ years of experience in data engineering and migration projects.
- SAP certification or proven experience in SAP data integration.
- Experience in Agile delivery and CI/CD practices.
Experience Level
Senior LevelJob role
Work location
Bangalore, Karnataka, India
Department
Data Science & Analytics
Role / Category
DBA / Data warehousing
Employment type
Full Time
Shift
Day Shift
Job requirements
Experience
Min. 5 years
About company
Name
Kpmg India Services Llp
Job posted by Kpmg India Services Llp
Apply on company website