Senior Data Engineer

About the Company:

Mercedes-Benz AG, a pioneer of automotive engineering, sees shaping the future of mobility in a safe and sustainable way as both a motivation and obligation. Mercedes-Benz is consistently implementing its strategy to transform itself toward a fully electric and software-driven future.

Mercedes-Benz Research and Development India (MBRDI) is the largest research and development center for Mercedes-Benz Group AG outside of Germany. MBRDI’s expertise includes developing new technologies like connected, autonomous and electric in the mobility world - driving digital acceleration, leading excellence in-car software and paving the way for sustainable mobility. MBRDI currently employs over 8500 professionals in the field of engineering, digitalisation, testing and simulation, and data science, with people at the heart of our culture. Our philosophy - When every individual shines in his or her own capabilities, we shine!

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 and Skills

Mandatory

• Bachelor’s or Master’s 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,

• Familiarity with a full range of data engineering approaches, covering theoretical best

• 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