Job Description - Data Engineering Lead (MER00021X3)
Description
Description RESPONSIBILITITES - Drive data strategy 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
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!
Qualifications
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, 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
· Comfortable working with Python
· Working knowledge of DevOps, CI/CD including deploying a range of data engineering pipelines into production, and testing techniques
· Experience building additional solutions around the Data Engineering architecture
· Experience working with Airflow or similar orchestration tool
· Working Knowledge on Containers and Kubernetes.
· Working knowledge in Github
· Strong in presentation, communication (written and verbal English), and interpersonal skills and comfortable in liaising with stakeholders independently
· Ability to juggle and prioritize multiple tasks within a collaborative team environment
· Proven ability leveraging analytical and problem-solving skills in a fast paced environment
Good to have · Working experience in DBT, Exasol
· knowledge of visualization tools (e.g. Power BI)
Preferred Experience and Skills · Certified Databricks Associate Developer (preferably in Python) is highly preferable.
· Trained in Azure Data Factory, Data lake, Data bricks Notebooks
· Working experience in SAFe - Scaled agile framework is a plus
Organization Organization Mercedes-Benz Research and Development India Private Limited Primary Location India-Karnataka-Bangalore Work Locations Brigade Tech Gardens, Katha No. 119 Brigade Tech Gardens, Katha No. 119 Kundalahalli Village, K.R. Puram Hobli, Ward No. 85 Bangalore 560037
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