Big Data Engineer- Aftersales
hace 2 semanas
Job Description - Big Data Engineer - Aftersales (MER0003HXL)
Description
Key roles and responsibilities include:
1. Work with Business & IT teams to gather, understand and define requirements and break down Demands into EPICS and User Stories, where needed.
2. Design and build end-to-end CI/CD data pipelines / deployments to get the relevant data and for the deliverables.
3. Review design, code and other deliverables created by your team to guarantee high-quality results.
4. Define acceptance criteria, manage & perform testing of own pipelines to ensure expected quality.
5. Own the status of Change requirements throughout the lifecycle & adapt changes to the existing scripts, codes and pipelines.
6. Own PoCs and deliver the results in reasonable time.
7. Ensure appropriate use of MB IT project management tools, governance, processes, policies and methodologies.
8. Bring value adds by contributing to continuous improvement and innovation, encourage best practices, challenge current practices, provide feedback to colleagues.
9. Present user stories in demand concept meetings together with respective stakeholders.
10. Align with architects if and as needed.
11. Detect dependencies to other systems/demands.
12. Conduct regular status meetings with all stakeholders, keeping the stakeholders needs and requirements continuously in view.
Qualifications
Mandatory Requirements
1. Total 3-6 Years of Experience in cloud with data engineering & analytics.
2. Bachelor's Degree in computer science or equivalent.
3. Hands on experience in Azure and Azure Data Factory, Storage accounts and Databricks, PySpark, DeltaLake, SQL.
4. Hands on experience in Azure DevOps/GIT, creating CI/CD pipelines and setting up branching / deployment strategies of data engineering.
5. Good knowledge in Azure key vaults, Authentication methods, Data security and error handling in Azure Data Factory and Azure DataBricks.
6. Good experience with DWH, ETL/ELT process, hands-on expertise ETL tools, relational DB or MPP, query tuning and performance tuning, and Apache Kafka.
7. Exposure to log analytics and debugging.
8. Good presentation, communication (written and verbal English) skills, and interpersonal skills and comfortable in liaising with stakeholders independently.
9. Ability to juggle and prioritize multiple tasks within a collaborative team environment.
10. Drive and desire to learn and grow both technical and functional skill sets.
11. Exposure to client facing roles both from IT and Business.
12. Proven ability leveraging analytical and problem-solving skills in a fast-paced environment.
Preferred Experience and Skills
1. Good knowledge of data architecture patterns (Data lakehouse, delta lake, streaming, Lambda/Kappa architecture).
2. Experienced in Powershell scripting for orchestration.
Organization
Mercedes-Benz Research and Development India Private Limited
Primary Location
India-Karnataka-Bangalore
Work Locations
Mercedes-Benz Research & Development India, Embassy Crest 'Embassy Crest' Plot No 5, EPIP Zone, Phase 1, 560 066
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