Senior Data Engineer

Mercedes Benz

3 - 6 years

7 - 12 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

debugging project management performance tuning data lineage databricks pyspark microsoft azure visualization tools data architecture azure data factory data engineering sql data science devops agile etl architecture azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

RESPONSIBILITITES -

Lead data engineering activities and process from demand management to design to implementation.
Act as a trusted advisor to our internal partners (Business Units and IT teams), and proactively communicate operational status, issues & risks in the projects to management.
Conceptualize products for existing business problems with business covering full life Cycle -design thinking, business canvas, road map with open source first approach and build products.
Lead internal consulting engagements, managing stakeholder expectations (Business Units) and monitor time to time and drive quality of deliverables.
Cost Optimization of resources and effective planning at the beginning of the assignment and drive vendor management activities.
Align and appropriately use Mercedes-Benz IT project management tools, governance, processes, policies and methodologies.
Bring value-add by creating a culture of continuous improvement and innovation through PoCs, encourage best practices, challenge current practices, provide feedback to team & colleagues.
Active participation in Data communities, support inner source activities within the organizations. Know-how of the latest in the industry and its fitment in the current set up.
Participation in organizational wide initiatives

Qualifications

Bachelors or Masters degree in Computer Science, Information Technology or equivalent work experience in the field of Data Engineering
Expertise in Data Engineering technologies such as SQL, ETL, Pipeline Orchestration, Data Lineage, Data Documentation, Azure Databricks, PySpark, Azure Data Factory etc..
Good knowledge of data architecture and Data Modelling patterns
Experience in working as a Data Engineering Architect / Lead: query tuning, performance tuning,
troubleshooting, and debugging.
Familiarity with a full range of data engineering approaches, covering theoretical best
practices and the technical applications of these methods.
Familiarity with databases and analytics technologies in the industry including Data Warehousing/ETL, Relational Databases
Working knowledge of DevOps, CI/CD including deploying a range of data engineering pipelines into production, and testing techniques is a plus
Experience building additional solutions around the Data Engineering architecture
Working knowledge in Github
Agile development experience.
Strong in presentation, communication (written and verbal English), and interpersonal skills and comfortable in liaising with stakeholders independently
Ability to prioritize multiple tasks within a collaborative team environment
Proven ability leveraging analytical and problem-solving skills in a fast paced environment

Good to have

knowledge of visualization tools (e.g. Power BI)
Preferred Experience and Skills
Microsoft Azure Certifications
Certified Databricks Associate Developer (preferably in Python) is highly preferable.
Working experience in SAFe - Scaled agile framework is a plus

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