Databricks Engineer

Capgemini; Bengaluru; On-site; INR 1,400,000 - 2,200,000; Full time

Benefits offered by this job

250,000+ courses

Industry-leading job stability 4.0/5

Certification programs

Job summary

Capgemini in Bengaluru seeks a data engineer with 6+ years of IT experience in analytics to design, build, and optimize scalable data pipelines using Databricks and cloud platforms. Strong Python skills are essential.

You will collaborate with cross-functional teams, contribute to ETL processes, and transform data for analytics solutions in a fast-paced environment.

Qualifications

• 6-9 years of IT experience in Data Engineering and Analytics.
• Hands-on experience with Databricks and cloud-based data platforms.
• Strong coding proficiency in Python.

Responsibilities

• Design, build and optimize data pipelines and ETL processes using Databricks.
• Transform and process data to support analytics and reporting.
• Collaborate with cross-functional teams to deliver scalable data solutions.

Skills

Databricks

Cloud platforms

Python

Data pipelines

Job description

Your Role

• Strong hands-on experience in Databricks, including data pipeline development, data transformation, and ETL processes.
• Expertise inCloud Platforms such as AWS, Azure, or GCP.
• Proficient inPython programming with strong knowledge of libraries such as Pandas and NumPy.
• Experience in designing, building, and optimizing scalable data solutions.Strong analytical and problem-solving skills with the ability to work in a fast-paced environment.

Your Profile

• 6-9 years of overall IT experience in Data Engineering and Analytics.
• Hands-on experience with Databricks and cloud-based data platforms.Strong coding proficiency in Python.
• Ability to collaborate effectively with cross-functional teams.

What will you love working at Capgemini

• You will have the on one of the industry''s largest digital learning platforms, with access to 250,000+ courses and numerous certifications.
• Mainframe roles at Capgemini are rated highly for job stability, with a score of4.0/5
• This is especially valuable in legacy systems where skilled professionals are in demand.