Job Location: Bengaluru
Aufgaben
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
Qualifikationen
- Bachelor’s or Master’s degree in Computer Science, Information Technology or
equivalent work experience in the field of Big Data
- Expertise in Big Data technologies such as Apache Spark, Apache Kafka, NoSQL
databases, Elastic search etc.
- Good knowledge of data architecture patterns
- Experience in working as a Big Data Architect / Lead: query tuning, performance tuning,
troubleshooting, and debugging Spark and other big data solutions.
- 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
- Strong expertise in Azure Databricks, Python, PySpark, SQL, Azure Data Factory, Synapse, Azure Data Lake & HD Insight, Notebooks, data analytics tools. Knowledge of visualization tools (e.g. Power BI) is good to have.
- Hands-on experience in HD Insight administration and Azure cloud services
- Working knowledge of DevOps, CI/CD including deploying a range of data engineering
pipelines into production, and testing techniques.
- Working Knowledge on Containers and Kubernetes.
- Agile development experience.
- 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
- Experience in designing BigData solutions and good understanding of related architectural patterns.
- Proven ability leveraging analytical and problem-solving skills in a fast paced
environment
Preferred Experience and Skills
- Microsoft Azure Certifications
- Certified Databricks Associate Developer (Scala or Python) is highly preferable.
- Working knowledge of Apache tools like Spark, Hive, Kafka
- Trained in Azure Data Factory, Data lake, Data bricks Notebooks
- Working experience in SAFe – Scaled agile framework is a plus
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