Senior Data Technical Product Manager

Overview

Lead data engineering initiatives, define roadmap & manage backlog for data pipelines and platforms

Key Responsibilities

• data optimization
• data quality
• monitoring
• data governance
• etl development
• data pipelines

Tasks

-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 -Optimizing and tuning the performance of data systems to ensure efficient data processing and analysis. -Identifying and resolving data quality issues, ensuring data accuracy, consistency, and completeness -Monitoring and troubleshoot data infrastructure, perform root cause analysis, and implement necessary fixes. -Collaborating with product managers and analysts to understand data requirements and implement solutions for data modeling and analysis. -Conducting customer and stakeholder interviews and elaborate on personas. -Implementing and maintaining data governance and security measures to protect sensitive data. -Developing and maintaining data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation. -Designing and implementing scalable and robust data pipelines to collect, process, and store data from various sources. -Owning and manage the backlog; continuously order and prioritize to ensure that 1-2 sprints/iterations of backlog are always ready.

Requirements

• sap
• databricks
• aws
• sql
• etl
• kafka

What You Bring

-Have Extensive knowledge working with SAP systems, Tcode, data pipelines in SAP, Databricks related technologies. -Have a Bachelor's or higher degree in Computer Science, Information Systems, or a related field. -Have familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery). -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; -Have Experience with data visualization and reporting tools (e.g., Tableau, Power BI). -Have Experience in data modeling, data warehousing, and ETL principles. -Have Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle). -Have Excellent communication and collaboration skills to work effectively in a team environment. -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. -Have Experience with building complex jobs for building SCD type mappings using ETL tools like PySpark, Talend, Informatica, etc. -Having working knowledge in Databricks, Dremio, and SAP is highly preferred. -Have Strong problem-solving and analytical skills, with the ability to handle complex data challenges. -Collaborating with UX in design decisions, demonstrating deep understanding of technology stack and impact on final product. -Have minimum 6-10 years of proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems. -Demonstrating expert-level skill in problem decomposition and ability to navigate through ambiguity.

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Benefits

-Contemporary work-life balance policies and wellbeing activities. -Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

About Baker Hughes

-Specializing in oil and gas exploration, drilling, and production, the company has a history of pioneering new technologies. -Notable for innovations like the world's first automated drilling system, the company has been at the forefront of optimizing energy operations. -The company is integral to major global projects, from large-scale energy exploration to developing critical infrastructure. -Has built a reputation for solving complex challenges, with a focus on safety, efficiency, and sustainability. -In recent years, the company has expanded its portfolio to include digital solutions, automation, and advanced analytics. -Has contributed significantly to global energy transitions, developing cutting-edge solutions for energy efficiency and sustainability.

Sector Specialisms