Staff Business Data Engineer
IN-KA-BANGALORE-NEON BUILDING WEST TOWER
Baker Hughes
Baker Hughes | We take energy forward - making it safer, cleaner, and more efficient for people and the planet.Staff Business Data Engineer
Are you passionate about Data and Analytics technologies?
Would you like to shape the future of energy technology using data?
Join our Valves team
We operate at the heart of the digital transformation of our Valves business. From Digital Engineering to enabling employee success, the Valves team is driven to provide the best products and service. We collaborate with teams to solve complex technical challenges and design future innovations.
Partner with the best
As a Staff Business Data Engineer, you will be the primary point of contact for data-related issues and support needs for both internal and external customers. This role requires strong business knowledge and service lifecycle knowledge to analyze data issues, trace root causes, and translate complex feedback into actionable technical solutions. This business Data owner will collaborate closely with the development team and business stakeholders to see through the resolution that ensures data accuracy, reliability and accessibility
As a Staff Business Data Engineer, you will be responsible for:
- 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 tune 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 resolve data quality issues, ensuring data accuracy, consistency, and completeness. Implement and maintain data governance and security measures to protect sensitive data.
- Monitoring and troubleshooting data infrastructure, perform root cause analysis, and implement necessary fixes.
- Ensuring the use of state-of-the-art methodologies to carry out job in the most productive and effective way. This may include research activities to identify and introduce new technologies in the field of data acquisition and data analysis
Fuel your passion
To be successful in this role you will:
- Bachelor’s or higher degree in Computer Science, Information Systems, or a related field.
- 6- 10 year’s 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).
- Experience with building complex jobs for building SCD type mappings using ETL tools like PySpark
- Understanding the key customer feedback, drive root cause of major challenges, and drive long term resolutions to improve our data accuracy
- 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).
- Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Certification in relevant technologies or data engineering disciplines
- Candidates should be flexible to work in rotational working hours as per business requirement
Work in a way that works for you
We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:
- Working flexible hours - flexing the times you work in the day
Working with us
Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.
Working for you
Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect:
- Contemporary work-life balance policies and wellbeing activities
- Comprehensive private medical care options
- Safety net of life insurance and disability programs
- Tailored financial programs
- Additional elected or voluntary benefits
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure BigQuery Computer Science Data analysis Data governance Data pipelines Data quality Data visualization Data warehouse Data Warehousing Docker Engineering ETL GCP Kubernetes MySQL Oracle Pipelines PostgreSQL Power BI PySpark Redshift Research Security SQL Tableau
Perks/benefits: Flex hours Health care Insurance Team events
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