Baker Hughes

Senior Data Product Manager

Baker Hughes

full-time

Posted on:

Location Type: Hybrid

Location: Mumbai • 🇮🇳 India

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Job Level

Senior

Tech Stack

Amazon RedshiftApacheAWSAzureBigQueryCloudDockerETLGoogle Cloud PlatformInformaticaKafkaKubernetesMySQLOraclePostgresPySparkSQLTableau

About the role

  • Demonstrating wide and deep knowledge in data engineering, data architecture, and data science.
  • Ability to guide, lead, and work with the team to drive to the right solution
  • Engaging frequently (80%) with the development team; facilitate discussions, provide clarification, story acceptance and refinement, testing and validation; contribute to design activities and decisions; familiar with waterfall, Agile scrum framework;
  • Owning and manage the backlog; continuously order and prioritize to ensure that 1-2 sprints/iterations of backlog are always ready.
  • Collaborating with UX in design decisions, demonstrating deep understanding of technology stack and impact on final product.
  • Conducting customer and stakeholder interviews and elaborate on personas.
  • Demonstrating expert-level skill in problem decomposition and ability to navigate through ambiguity.
  • Partnering with the Service Owner to ensure a healthy development process and clear tracking metric to form standard and trustworthy way of providing customer support
  • Designing and implementing scalable and robust data pipelines to collect, process, and store data from various sources.
  • Developing and maintaining data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation.
  • Optimizing and tuning the performance of data systems to ensure efficient data processing and analysis.
  • Collaborating with product managers and analysts to understand data requirements and implement solutions for data modeling and analysis.
  • Identifying and resolving data quality issues, ensuring data accuracy, consistency, and completeness
  • Implementing and maintaining data governance and security measures to protect sensitive data.
  • Monitoring and troubleshoot data infrastructure, perform root cause analysis, and implement necessary fixes.

Requirements

  • Have a Bachelor's or higher degree in Computer Science, Information Systems, or a related field.
  • Have minimum 6-10 years of proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems.
  • Have Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle).
  • Have Extensive knowledge working with SAP systems, Tcode, data pipelines in SAP, Databricks related technologies.
  • Have Experience with building complex jobs for building SCD type mappings using ETL tools like PySpark, Talend, Informatica, etc.
  • Have Experience with data visualization and reporting tools (e.g., Tableau, Power BI).
  • Have Strong problem-solving and analytical skills, with the ability to handle complex data challenges.
  • Have Excellent communication and collaboration skills to work effectively in a team environment.
  • Have Experience in data modeling, data warehousing, and ETL principles.
  • Have familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery).
  • Have 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.
  • Having working knowledge in Databricks, Dremio, and SAP is highly preferred.
Benefits
  • Flexible working hours
  • Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringdata architecturedata scienceSQLETLdata modelingdata warehousingdata governancedata qualityreal-time data processing
Soft skills
problem-solvinganalytical skillscommunicationcollaborationleadershipteamworkfacilitationambiguity navigationcustomer supportstakeholder engagement
Certifications
data engineering certification