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for - Big Data Architect / Lead - Data Factory

3.00 to 4.00 Years   Bangalore   22 Dec, 2022
Mercede
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job 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, *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 servicesWorking 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 environmentExperience 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

Keyskills :
hadoopcassandraetlhbasehiveit project managementscaled agile frameworkbig datalife cycleopen sourcequery tuningaston martinapache kafka

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