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- Job Title: Data Engineer
- Location: Bengaluru, Karnataka
- Qualifications: Graduate or Post graduate
- Experience: 6-12 Year’s
- Job Type: Full Time
- Company: Capgemini
About Capgemini:
Capgemini is a international chief in consulting, era services, and digital transformation. Our crew of over 270,000 human beings in nearly 50 nations works to harness the power of technology to transform companies and make an effect on society. At Capgemini, we are dedicated to growing price and driving sustainable growth for our clients. We strive to be a accountable and inclusive employer, dedicated to range and the continuing improvement of our humans.
Position overview: Data Engineer
Capgemini is in search of a tremendously stimulated and experienced Data Engineer to enroll in our dynamic group. As a Data Engineer at Capgemini, you may be at the forefront of reworking our customers’ information ecosystems, permitting them to make knowledgeable decisions via superior statistics analytics and insights. You will work with a numerous organization of stakeholders to layout, build, and keep information pipelines, making sure the green flow and transformation of statistics across our clients’ agencies.
Key Responsibilities:
1. Data Pipeline Development:
- Design, build, and manipulate scalable information pipelines to ingest, procedure, and remodel massive volumes of statistics from diverse resources.
- Ensure records integrity and nice at some stage in the facts lifecycle.
- Implement best practices for facts integration, processing, and storage.
2. Database Management:
- Develop and hold database solutions (each relational and non-relational) to aid statistics storage and retrieval needs.
- Optimize database overall performance for efficient records querying and analysis.
- Implement security features to safeguard sensitive data.
3. Data Transformation and Cleaning:
- Perform statistics wrangling to clean, remodel, and enhance raw statistics into usable formats for analysis and reporting.
- Develop ETL (Extract, Transform, Load) methods to automate facts workflows.
- Utilize gear and programming languages including SQL, Python, and Spark for statistics processing.
4. Collaboration and Stakeholder Management:
- Work carefully with facts scientists, analysts, and enterprise stakeholders to understand statistics requirements and deliver answers that meet their needs.
- Translate business requirements into technical specs.
- Provide support and steerage to junior information engineers and different crew contributors.
5. Data Quality and Governance:
- Implement records pleasant assessments and validation processes to make sure facts accuracy and reliability.
- Develop and implement information governance regulations and requirements.
- Monitor facts pipelines and carry out ordinary maintenance to ensure smooth operation.
6. Innovation and Continuous Improvement:
- Stay up to date with the present day traits and advancements in information engineering and related technologies.
- Identify possibilities for manner improvements and automation.
- Contribute to the improvement of nice practices and standards inside the records engineering team.
What do you need to succeed:
- Bachelor’s or Master’s diploma in Computer Science, Engineering, Information Technology, or a related subject.
- Proven experience as a Data Engineer or in a comparable function.
- Strong talent in programming languages including Python, Java, or Scala.
- Experience with facts processing frameworks which include Apache Spark, Hadoop, or similar.
- Solid knowledge of SQL and enjoy with relational databases (e.G., PostgreSQL, MySQL, Oracle) as well as NoSQL databases (e.G., MongoDB, Cassandra).
- Familiarity with cloud structures which includes AWS, Azure, or Google Cloud.
- Experience with statistics integration equipment and ETL frameworks.
- Knowledge of statistics warehousing standards and solutions (e.G., Redshift, BigQuery, Snowflake).
- Strong hassle-solving capabilities and the ability to troubleshoot complex information problems.
- Excellent verbal exchange and teamwork competencies.
Preferred Qualifications:
- Experience with actual-time data processing and streaming technologies (e.G., Kafka, Flink).
- Familiarity with containerization and orchestration gear (e.G., Docker, Kubernetes).
- Knowledge of machine learning frameworks and revel in operating with statistics technological know-how teams.
- Certification in cloud platforms or statistics engineering equipment is a plus.
What We Offer:
- A dynamic and inclusive paintings surroundings that fosters professional boom.
- Opportunities to paintings on current technologies and projects.
- Comprehensive advantages package, together with medical health insurance, retirement plans, and paid break day.
- Continuous studying and development possibilities.
- A tradition of innovation and collaboration.
How to Apply:
If you are captivated with statistics engineering and seeking to make a enormous effect in a global enterprise, we inspire you to apply. Please put up your resume and a cowl letter detailing your applicable revel in and why you’re a terrific fit for this role.
Join Capgemini and be part of a group this is riding virtual transformation and shaping the destiny of generation. We sit up for welcoming you!
Capgemini is an Equal Opportunity Employer. We celebrate variety and are dedicated to creating an inclusive surroundings for all personnel.
This activity description presents a comprehensive review of the Data Engineer role at Capgemini, outlining key duties, qualifications, and benefits to draw suitable applicants. Adjust specific info along with vicinity and alertness instructions as vital.
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