Senior Data Engineer (SAP HANA)
Senior Data Engineer (SAP HANA)
Posted on :
27-06-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
27-06-2025
Job Description
Data Engineer
Location- Detroit MI- 3 days onsite
Mandatory Exp- SAP HANA
Location- Detroit MI- 3 days onsite
Mandatory Exp- SAP HANA
Position Description:
Materials Management Platform (MMP) is a multi-year transformation initiative aimed at transforming clients Materials Requirement Planning & Inventory Management capabilities. This is part of a larger Industrial Systems IT Transformation effort.
This position responsibility is to design & deploy Data Centric Architecture in GCP for Materials Management platform which would get / give data from multiple applications modern & Legacy in Product Development Manufacturing Finance Purchasing N-Tier Supply Chain Supplier Collaboration
This position responsibility is to design & deploy Data Centric Architecture in GCP for Materials Management platform which would get / give data from multiple applications modern & Legacy in Product Development Manufacturing Finance Purchasing N-Tier Supply Chain Supplier Collaboration
Skills Required:
Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Big Query Google Cloud Storage Cloud SQL Memory Store Dataflow Dataproc Artifact Registry Cloud Build Cloud Run Vertex AI Pub/Sub GCP APIs.
Build ETL pipelines to ingest the data from heterogeneous sources into our system
Develop data processing pipelines using programming languages like Java and Python to extract transform and load (ETL) data
Create and maintain data models ensuring efficient storage retrieval and analysis of large datasets
Deploy and manage databases both SQL and NoSQL such as Bigtable Firestore or Cloud SQL based on project requirements
Optimize data workflows for performance reliability and cost-effectiveness on the GCP infrastructure.
Implement version control and CI/CD practices for data engineering workflows to ensure reliable and efficient deployments.
Utilize GCP monitoring and logging tools to proactively identify and address performance bottlenecks and system failures
Troubleshoot and resolve issues related to data processing storage and retrieval.
Promptly address code quality issues using SonarQube Checkmarx Fossa and Cycode throughout the development lifecycle
Implement security measures and data governance policies to ensure the integrity and confidentiality of data
Collaborate with stakeholders to gather and define data requirements ensuring alignment with business objectives.
Develop and maintain documentation for data engineering processes ensuring knowledge transfer and ease of system maintenance.
Participate in on-call rotations to address critical issues and ensure the reliability of data engineering systems.
Provide mentorship and guidance to junior team members fostering a collaborative and knowledge-sharing environment.
Build ETL pipelines to ingest the data from heterogeneous sources into our system
Develop data processing pipelines using programming languages like Java and Python to extract transform and load (ETL) data
Create and maintain data models ensuring efficient storage retrieval and analysis of large datasets
Deploy and manage databases both SQL and NoSQL such as Bigtable Firestore or Cloud SQL based on project requirements
Optimize data workflows for performance reliability and cost-effectiveness on the GCP infrastructure.
Implement version control and CI/CD practices for data engineering workflows to ensure reliable and efficient deployments.
Utilize GCP monitoring and logging tools to proactively identify and address performance bottlenecks and system failures
Troubleshoot and resolve issues related to data processing storage and retrieval.
Promptly address code quality issues using SonarQube Checkmarx Fossa and Cycode throughout the development lifecycle
Implement security measures and data governance policies to ensure the integrity and confidentiality of data
Collaborate with stakeholders to gather and define data requirements ensuring alignment with business objectives.
Develop and maintain documentation for data engineering processes ensuring knowledge transfer and ease of system maintenance.
Participate in on-call rotations to address critical issues and ensure the reliability of data engineering systems.
Provide mentorship and guidance to junior team members fostering a collaborative and knowledge-sharing environment.
Experience Required:
8 years of professional experience in: o Data engineering data product development and software product launches
o At least three of the following languages: Java Python Spark Scala SQL and experience performance tuning.
4 years of cloud data/software engineering experience building scalable reliable and cost-effective production batch and streaming data pipelines using: o Data warehouses like Google BigQuery.
o Workflow orchestration tools like Airflow.
o Relational Database Management System like MySQL PostgreSQL and SQL Server.
o Real-Time data streaming platform like Apache Kafka GCP Pub/Sub
o Microservices architecture to deliver large-scale real-time data processing application.
o REST APIs for compute storage operations and security.
o DevOps tools such as Tekton GitHub Actions Git GitHub Terraform Docker. o Project management tools like Atlassian JIRA
Automotive experience is preferred
Support in an onshore/offshore model is preferred
Excellent at problem solving and prevention.
Knowledge and practical experience of agile delivery
o At least three of the following languages: Java Python Spark Scala SQL and experience performance tuning.
4 years of cloud data/software engineering experience building scalable reliable and cost-effective production batch and streaming data pipelines using: o Data warehouses like Google BigQuery.
o Workflow orchestration tools like Airflow.
o Relational Database Management System like MySQL PostgreSQL and SQL Server.
o Real-Time data streaming platform like Apache Kafka GCP Pub/Sub
o Microservices architecture to deliver large-scale real-time data processing application.
o REST APIs for compute storage operations and security.
o DevOps tools such as Tekton GitHub Actions Git GitHub Terraform Docker. o Project management tools like Atlassian JIRA
Automotive experience is preferred
Support in an onshore/offshore model is preferred
Excellent at problem solving and prevention.
Knowledge and practical experience of agile delivery
Employment Type
Full Time
Key Skills
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