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Senior Data Engineer (SAP BTP Integration Suite / Pentaho / ADF / SQL) Job Opening In White Plains – Now Hiring Trigyn Technologies


Job description

Job Description:

Our client - a major utility firm based out of Westchester County, NY - has an immediate need for Senior Data Engineer.

The particulars of the position are as follows.


Job Functions & Responsibilities:


Cloud Data Engineering & Integration:

• Design and implement data pipelines across AWS, Azure, and Google Cloud.

• Develop SAP BTP integrations with cloud and on-premise systems.

• Ensure seamless data movement and storage between cloud platforms.


ETL & Data Pipeline Development:

• Develop and optimize ETL workflows using Pentaho and Microsoft ADF /or equivalent ETL tools.

• Design scalable and efficient data transformation, movement, and ingestion processes.

• Monitor and troubleshoot ETL jobs to ensure high availability and performance.


API Development & Data Integration:

• Develop and integrate RESTful APIs to support data exchange between SAP and other platforms.

• Work with API gateways and authentication methods like OAuth, JWT, API keys.

• Implement API-based data extractions and real-time event-driven architectures.


Data Analysis & SQL Development:

• Write and optimize SQL queries, stored procedures, and scripts for data analysis, reporting, and integration.

• Perform data profiling, validation, and reconciliation to ensure data accuracy and consistency.

• Support data transformation logic and business rules for ERP reporting needs.


Data Governance & Quality (Ataccama, Collibra):

• Work with Ataccama and Collibra to define and enforce data quality and governance policies.

• Implement data lineage, metadata management, and compliance tracking across systems.

• Ensure compliance with enterprise data security and governance standards.


Cloud & DevOps (AWS, Azure, GCP):

• Utilize Azure DevOps and GitHub for version control, CI/CD, and deployment automation.

• Deploy and manage data pipelines on AWS, Azure, and Google Cloud.

• Work with serverless computing (Lambda, Azure Functions, Google Cloud Functions) to automate data workflows.


Collaboration & Documentation:

• Collaborate with SAP functional teams, business analysts, and data architects to understand integration requirements.

• Document ETL workflows, API specifications, data models, and governance policies.

• Provide technical support and troubleshooting for data pipelines and integrations.


Required Skills & Experience:

• 7+ years of experience in Data Engineering, ETL, and SQL development.

• Hands-on experience with SAP BTP Integration Suite for SAP and non-SAP integrations.

• Strong expertise in Pentaho (PDI), Microsoft ADF, and API development.

• Proficiency in SQL (stored procedures, query optimization, performance tuning).

• Experience working with Azure DevOps, GitHub, and CI/CD for data pipelines.

• Good understanding of data governance tools (Ataccama, Collibra) and data quality management.

• Experience working with AWS, Azure, and Google Cloud (GCP) for data integration and cloud-based workflows.

• Strong problem-solving skills and ability to work independently in a fast-paced environment.


Preferred Qualifications:

• Experience working on SAP S/4HANA and cloud-based ERP implementations.

• Familiarity with Python, PySpark for data processing and automation.

• Experience working on Pentaho, Microsoft ADF/or equivalent ETL tools

• Knowledge of event-driven architectures

• Familiarity with CI/CD for data pipelines (Azure DevOps, GitHub Actions, .


Education & Certifications:

• Bachelor's or Master's degree in a relevant field like Computer science, Data Engineering or related technical field.


Nice to have below certifications:

• Azure Data Engineer associate

• SAP Certified Associate - Integration Developer.

Required Skill Profession

Computer Occupations


  • Job Details

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