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252 Mercedes-Benz Research and Development India Jobs
3-6 years
Bangalore / Bengaluru
1 vacancy
Full Stack Engineer Data
Mercedes-Benz Research and Development India
posted 13d ago
Flexible timing
Key skills for the job
Key roles and responsibilities include:
Work with Business IT teams to gather, understand and define requirements and break down Demands into EPICS and User Stories, where needed.
Design and build end-to-end CI/CD data pipelines / deployments to get the relevant data and for the deliverables
Reviewing design, code and other deliverables created by your team to guarantee high-quality results
Define acceptance criteria, manage perform testing of own pipelines to ensure expected quality
Own the status of Change requirements throughout the lifecycle adapt changes to the existing scripts, codes and pipelines.
Own PoCs and deliver the results in reasonable time
Ensuring appropriate use of MB IT project management tools, governance, processes, policies and methodologies
Bring value adds by contributing to continuous improvement and innovation, encourage best practices, challenge current practices, provide feedback to colleagues
Presents user stories in demand concept meetings together with respective stakeholders
Align with architects if and as needed
Detect dependencies to other systems/demands
Conduct regular status meetings with all stakeholders, keeping the stakeholders needs and requirements continuously in view
Qualifications
Mandatory Requirements
Total 3-6 Years of Experience in cloud with data engineering analytics
Bachelors Degree in computer science or equivalent
Hands on experience in Azure and Azure Data Factory, Storage accounts and Databricks, PySpark, DeltaLake, SQL
Hands on experience in Azure DevOps/GIT, creating CI/CD pipelines and setting up branching / deployment strategies of data engineering
Good knowledge in Azure key vaults, Authentication methods, Data security and error handling in Azure Data Factory and Azure DataBricks
Good experience with DWH, ETL/ELT process, hands-on expertise ETL tools, relational DB or MPP, query tuning and performance tuning, and Apache Kafka
Good knowledge in Agile(Scrum, DevOps Boards etc.)
Exposure to log analytics and debugging
Good presentation, communication (written and verbal English) skills, and interpersonal skills and comfortable in liaising with stakeholders independently
Ability to juggle and prioritize multiple tasks within a collaborative team environment
Drive and desire to learn and grow both technical and functional skill sets
Exposure to client facing roles both from IT and Business
Proven ability leveraging analytical and problem-solving skills in a fast paced environment
Key roles and responsibilities include:
Work with Business IT teams to gather, understand and define requirements and break down Demands into EPICS and User Stories, where needed.
Design and build end-to-end CI/CD data pipelines / deployments to get the relevant data and for the deliverables
Reviewing design, code and other deliverables created by your team to guarantee high-quality results
Define acceptance criteria, manage perform testing of own pipelines to ensure expected quality
Own the status of Change requirements throughout the lifecycle adapt changes to the existing scripts, codes and pipelines.
Own PoCs and deliver the results in reasonable time
Ensuring appropriate use of MB IT project management tools, governance, processes, policies and methodologies
Bring value adds by contributing to continuous improvement and innovation, encourage best practices, challenge current practices, provide feedback to colleagues
Presents user stories in demand concept meetings together with respective stakeholders
Align with architects if and as needed
Detect dependencies to other systems/demands
Conduct regular status meetings with all stakeholders, keeping the stakeholders needs and requirements continuously in view
Qualifications
Mandatory Requirements
Total 3-6 Years of Experience in cloud with data engineering analytics
Bachelors Degree in computer science or equivalent
Hands on experience in Azure and Azure Data Factory, Storage accounts and Databricks, PySpark, DeltaLake, SQL
Hands on experience in Azure DevOps/GIT, creating CI/CD pipelines and setting up branching / deployment strategies of data engineering
Good knowledge in Azure key vaults, Authentication methods, Data security and error handling in Azure Data Factory and Azure DataBricks
Good experience with DWH, ETL/ELT process, hands-on expertise ETL tools, relational DB or MPP, query tuning and performance tuning, and Apache Kafka
Good knowledge in Agile(Scrum, DevOps Boards etc.)
Exposure to log analytics and debugging
Good presentation, communication (written and verbal English) skills, and interpersonal skills and comfortable in liaising with stakeholders independently
Ability to juggle and prioritize multiple tasks within a collaborative team environment
Drive and desire to learn and grow both technical and functional skill sets
Exposure to client facing roles both from IT and Business
Proven ability leveraging analytical and problem-solving skills in a fast paced environment
Employment Type: Full Time, Permanent
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6-9 Yrs
Bangalore / Bengaluru