Baker Hughes Recruitment Drive; Hiring Data Engineering – Apply Now

As a Data Engineering Specialist, you will be part of cross-functional team responsible for data products typically involving large, complex datasets. You will interact with Subject Matter Experts, Architects, Product Managers, Data Scientists, and many others to fulfil your duties. Example application areas you will be involved with include regulatory reporting, emissions/water/waste management, human capital reporting, biodiversity reporting, control and risk management, health & safety reporting. Candidates are advised to apply soon, before the link expires

Name of the Organization: Baker Hughes

Requisition ID: R129417

Positions: Data Engineering Specialist - Sustainability & ESG Reporting

Location: Bangalore & Pune (Hybrid)

Salary: As per company Norms

Educational Qualifications:

• Have a Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math).
• A minimum 0-3 years of professional experience
• Have knowledge of Data Engineering concepts (SQL, Data Modelling, ELT)
• Have knowledge of Data Processing languages and technologies (e.g.: PySpark, databases, distributed systems)
• Have knowledge of Data Visualization tools and technologies (e.g.: Tableau, PowerBI)
• Be aware of methods and practices such as Lean/Agile/XP, etc. Prior experience in an agile environment, or introductory training on Lean/Agile is a differentiator. Be aware of and able to apply continuous integration (CI).

Job Description:

• Maintaining Data Lake based data models with automated pipelines for data processing, ingestion and consumption, including governance and data quality capabilities, leveraging multiple platform technologies (e.g.: AWS, Databricks, Azure, etc.)
• Monitoring critical data pipelines and engaging on proactive support with platform teams, end-users or projects
• Implementing automated testing or executing manual testing procedures to ensure conformity with functional and non-functional requirements.
• Identifying impacts of changes in sources of data, code and platforms

 

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