Senior Data Technical Product Manager

6 - 11 years

15 - 20 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are looking for a highly skilled and experienced Senior Data Technical Product Manager to lead our team in developing innovative data solutions. The ideal candidate will have a strong background in data engineering, data architecture, and data science, with excellent problem-solving skills and the ability to work effectively in a team environment.
Roles and Responsibility
  • Develop and implement scalable and robust data pipelines to collect, process, and store data from various sources.
  • Design and maintain data warehouse and ETL processes for data integration and transformation.
  • Collaborate with product managers and analysts to understand data requirements and implement solutions for data modeling and analysis.
  • Identify and resolve data quality issues, ensuring data accuracy, consistency, and completeness.
  • Implement and maintain data governance and security measures to protect sensitive data.
  • Monitor and troubleshoot data infrastructure, perform root cause analysis, and implement necessary fixes.
Job Requirements
  • Bachelor's or higher degree in Computer Science, Information Systems, or a related field.
  • Minimum 6-10 years of proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems.
  • Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle).
  • Extensive knowledge working with SAP systems, Tcode, data pipelines in SAP, Databricks related technologies.
  • Experience with building complex jobs for building SCD type mappings using ETL tools like PySpark, Talend, Informatica, etc.
  • Experience with data visualization and reporting tools (e.g., Tableau, Power BI).
  • Strong problem-solving and analytical skills, with the ability to handle complex data challenges.
  • Excellent communication and collaboration skills to work effectively in a team environment.
  • Experience in data modeling, data warehousing, and ETL principles.
  • Familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery).
  • Advanced knowledge of distributed computing and parallel processing. Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink). Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
  • Certification in relevant technologies or data engineering disciplines is preferred.
  • Working knowledge in Databricks, Dremio, and SAP is highly preferred.
About Company
Baker Hughes is an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward making it safer, cleaner, and more efficient for people and the planet.

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Baker Hughes

Oil & Energy

Houston

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