Digital Technology Experienced Professional- Data and Analytics

Baker Hughes

Bengaluru

Hybrid

INR 1,200,000 - 2,400,000

Full time

9 days ago

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Benefits offered by this job

Private medical care options

Life insurance

Financial programs

Wellbeing activities

Job summary

Baker Hughes is seeking a Digital Technology Experienced Professional - Data and Analytics to lead end-to-end data engineering initiatives. You will own data features, design ETL pipelines and implement data lakehouse architectures, while leveraging Databricks AI capabilities for orchestration and monitoring.

You will collaborate with product managers, architects and analytics teams to define data requirements and roadmaps, research new tools, and mentor others.

Qualifications

Bachelor's degree in computer science or STEM majors.
3–6 years of professional experience.
Hands-on in designing cost-effective Big Data ETL pipelines and orchestration.

Responsibilities

Own end-to-end data features from scope to delivery.
Design and development of ETL data pipelines and data lakehouse architecture.
Collaborate with PMs, architects and analytics teams to define data requirements and roadmaps.
Develop AI workflows and orchestration using Databricks capabilities and monitoring.
Research new open-source tools and validate them for solutions.
Mentor developers and document best practices; ensure data quality and governance.

Skills

Big data ETL

Databricks

Lakehouse

PySpark

Spark

SQL/NoSQL

Git/CICD

Airflow/Oozie

BigQuery

Hive

Education

Bachelor's degree in CS or STEM

Tools

Databricks

Spark

Delta Lake

Airflow

Job description

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.

As a Digital Technology Experienced Professional- Data and Analytics, you will also be responsible for:

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.
Collaborate with analytics team for the design and development of Agentic AI workflows, orchestration, monitoring using Databricks or non-databricks capabilities.
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, understanding 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!

To be successful in this role you will:

Bachelor's degree in computer science or “STEM” Majors (Science, Technology, Engineering and Math). A minimum of 3-6 years of professional experience.
Must have hands-on expertise in designing cost effective Big data ETL pipelines and orchestration for batch and near real time data flows.
Must have good understanding of Agentic AI design and development using Databricks AI capabilities, their orchestration & monitoring.
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.