Senior Data Engineer

Baker Hughes Oilfield Services India Private Limited; Bengaluru; On-site; INR 3,600,000 - 5,200,000; Full time

Job summary

Baker Hughes Oilfield Services India Private Limited in Bengaluru is seeking a Digital Technology Experienced Professional – Data and Analytics to lead end-to-end data and analytics initiatives. The role focuses on building scalable data applications, ETL pipelines, and lakehouse architectures using modern tools.

You will collaborate with product managers and analytics teams, own design and development, and drive insights with Databricks, Spark, SQL/NoSQL, and open-source tech.

Qualifications

• Bachelor's degree in computer science or STEM majors.
• Minimum 7+ years of professional experience.
• Experience designing cost-effective Big data ETL pipelines and orchestration.
• Proficiency in Lakehouse architecture and distributed data processing.
• Hands-on Databricks development, troubleshooting, and PySpark optimization.
• Strong knowledge of Apache Spark and Delta Lake concepts.
• Experience with SQL/NoSQL data modeling.
• Familiarity with Git, branching strategies, and CI/CD.
• Understanding of core Big Data technologies such as Airflow/Oozie, Spark, BigQuery, Hive, NoSQL, and object storage.
• Ability to leverage data assets to answer complex questions and generate insights.
• Ability to perform exploratory data analysis and generate visual summaries.
• Identify data quality issues and actively improve data quality.
• Willingness to adopt novel tools and methods and evaluate new technologies.
• Validate new tools and methodologies.

Responsibilities

• Collaborating with Technical Product Managers, Architects and Analytics team to define the scope, capabilities and roadmap of Data Applications.
• Delivering end-to-end ownership of business features, meeting functional & non-functional requirements.
• Owning the design and development of ETL data pipelines, orchestration and process maturity for data lakehouse using medallion architecture.
• Researching and evaluating new open-source technologies and frameworks to solve problems & improve existing solutions.
• Integrating domain data knowledge into development of data requirements.
• Mentoring other developers by articulating and documenting best practices and design principles.
• Looking across multiple systems, understanding the purpose of each system and defining data requirements by systems.
• Identifying downstream implications of data loads/migration (e.g., data quality, regulatory).

Skills

Big data engineering

ETL pipelines

Exploratory data analysis

Data quality

Lakehouse architecture

SQL/NoSQL data modeling

CI/CD understanding

Problem solving / innovation

Education

Bachelor's degree in computer science or STEM

Tools

Databricks

Pyspark

Apache Spark

Delta Lake

Git

Airflow

Oozie

BigQuery

Hive

NoSQL

Object Storage

Job description

Digital Technology Experienced Professional – Data and Analytics

Digital Technology Experienced Professional – Data and Analytics Are you a highly motivated, creative individual and passionate about sales and proposals? Would you like to be a part of successful team? Join our team! Baker Hughes is the leading energy technology company, who delivers across the energy value chain through our market-leading business segments. 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. Partner with the best

As a part of Data Engineering team, you’ll help to solve our customers' toughest challenges, making flights safer, power cheaper, and oil & gas production safer for people and the environment by leveraging data and analytics. Senior Data Engineer will work with the teams to create state-of-the-art data and analytics driven solutions, working across Baker Hughes to drive business analytics to a new level of predictive analytics while leveraging big data cutting edge tools and technologies.

Responsibilities

• Collaborating with Technical Product Managers, Architects and Analytics team to define the scope, capabilities and roadmap of Data Applications.
• Delivering End-to-end ownership of business features, meeting functional & non-functional requirements.
• Owning the design and development of ETL data pipelines, orchestration and process maturity for data lakehouse using medallion architecture.
• Researching and evaluating new open-source technologies and framework to solve problems & improve existing solutions.
• Integrating domain data knowledge into development of data requirements.
• Articulating and documenting best practices and design principles to mentor other developers.
• Looking across multiple systems, understands the purpose of each system and defines data requirements by systems.
• Identifying downstream implications of data loads/migration (e.g., data quality, regulatory, etc.).

Fuel your passion!

Qualifications

• Bachelor's degree in computer science or “STEM” Majors (Science, Technology, Engineering and Math).
• A minimum of 7+ years of professional experience.
• Must have hands‑on expertise in designing cost effective Big data ETL pipelines and orchestration, preferred streaming or near real time data flow.
• Have Proficiency in Lakehouse architecture and distributed data processing aka Big data engineering skills.
• Have Hands‑on project experience on Databricks development, troubleshooting and optimization using Pyspark.
• Have Good understanding of Apache Spark and Delta Lake core concepts.
• Have Working knowledge of SQL/NoSql data model design.
• Have Working knowledge of Git repo, Git Branching strategy and CICD.
• Have Understanding of Big Data technologies core concepts – Airflow/Oozie, Spark, BigQuery, Hive, NoSql, Object Storage, etc.
• Have Ability to leverage data assets to respond to complex questions that require timely answers.
• Able to conduct exploratory data analysis and generate visual summaries of data.
• Identifies data quality issues.
• Actively identifies needs for novel methods/tools and works with team to invent as necessary.
• Validates new tools and methodologies.

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. 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

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.

Benefits

• 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

The Baker Hughes internal title for this role is: Digital Technology Experienced Professional - Data and Analytics Experience Level Mid Level