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PGET Conversion Professional
0-2 years
Bangalore / Bengaluru
1 vacancy
PGET Conversion Professional
Mercedes-Benz Research and Development India
posted 2mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Responsibilities:
- Design, develop, and deploy complex data pipelines and workflows on Azure Databricks using Python, Scala, and SQL.
- Implement and optimize data integration, transformation, and enrichment processes, focusing on performance, scalability, and cost-efficiency.
- Oversee and manage financial operations related to data processing and cloud resource usage.
- Implement strategies for cost optimization and budget management in Azure environments.
- Develop and maintain the architecture of our data platform, ensuring it meets current and future business needs.
- Provide architectural guidance and best practices for data processing and storage solutions.
- Utilize Delta Lake to enable ACID transactions and efficient data management.
- Work with Parquet and Delta formats to ensure optimal data storage and processing performance.
- Design and implement data APIs and microservices to facilitate seamless data access and integration.
- Partner with cross-functional teams to understand data requirements and develop effective technical solutions.
- Document technical designs, data flows, and operational procedures.
- Ensure data quality and reliability through automated testing and monitoring.
- Implement and enforce security and compliance best practices for data handling in Azure environments.
- Stay current with industry trends and advancements in data technologies and cloud services.
- Propose and implement improvements to enhance data platform capabilities and efficiency.
Skill Requirements (M-Mandatory):
- (M) Extensive experience as a data engineer, DevOps engineer, or similar role with a focus on data platforms.
- (M) Advanced skills in Python and Scala; strong proficiency in SQL for data manipulation and querying.
- (M) Hands-on experience with Azure Databricks for data processing.
- (M) In-depth knowledge of Delta Lake, Parquet, and Delta formats.
- (M) Proven experience in designing and maintaining data platform architecture.
- (M) Experience in managing financial operations and cost optimization in cloud environments.
- (M) Expertise in designing and implementing ETL/ELT processes and data pipelines.
- Strong familiarity with Azure services and cloud resource management.
- Proficiency with Git and CI/CD pipelines for automated deployments.
- Excellent communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
- Familiarity with Docker and Kubernetes for containerized deployments.
Qualifications
- Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent work experience).
- 4+ years of relevant experience in data engineering or DevOps roles with a focus on data platforms.
- Relevant Azure certifications (e.g., Azure Data Engineer) and additional industry certifications are a plus.
Employment Type: Full Time, Permanent
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What Mercedes-Benz Research and Development India employees are saying about work life
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Flexible timing
Monday to Friday
No travel
Day Shift
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Embassy Crest (Registered Office)
Plot No. 5-P, EPIP Zone, Phase 1, Whitefield Road, Near Satya Sai Baba Hospital, Bengaluru,
Karnataka – 560066
Bengaluru/Bangalore
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Bengaluru, Karnataka- 560037
Bengaluru/Bangalore
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