Data Engineer CAPGEMINI TECHNOLOGY SERVICES INDIA LIMITED

  • company name CAPGEMINI TECHNOLOGY SERVICES INDIA LIMITED
  • working location Office Location
  • job type Full Time

Experience: 4 - 4 years required

Pay: INR 800000 - INR 1800000 /year

Type: Full Time

Location: Bangalore

Skills: ETL, Data models, SQL, cassandra, MongoDB, Python

About CAPGEMINI TECHNOLOGY SERVICES INDIA LIMITED

Job Description

Data Engineers for Application Data Model (B2/C1), Anywhere in India

Responsibilities:

  • Individual contributor role in design and development of data models based on the specific requirements.
  • Designing, developing, and deploying ETL/ELT (Extract, Transform, Load/Extract, Load, Transform) pipelines to move data from various sources to data warehouses or data lakes.
  • Ensuring data pipelines are robust, scalable, and efficient.
  • Monitoring pipeline performance and troubleshooting issues
  • Transforming raw data into usable formats for analysis.  
  • Cleaning and validating data to ensure accuracy and consistency.  
  • Implementing data quality checks and data governance policies

Qualifications:

Education:

  • Bachelor's degree in Computer Science, Information Technology, or a related field;

Skills Required:

  • Must have Hands on Programming Languages: SQL, Python
  • Must Have in any of the Database Management: Relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra).  
  • Preferable worked on: Big Data Technologies: Hadoop, Spark, Kafka.
  • Must have in any of Cloud Computing Platform : Google Cloud Platform (GCP), AWS, Azure,
  • Preferable to Have ETL/ELT Tools exposure: Cloud Composer DAG using Airflow, Dataproc / Dataflow
  • Preferable: Data Warehousing: BigQuery,
  • Soft Skills: Strong analytical and problem-solving skills.
  • Nice to have: , Java, Scala, Go.  

Experience:

  • 4 to 7 years of experience in implementation of large enterprise data cloud / data hub projects
  • Experience with Agile methodologies.
  • Excellent communication and interpersonal skills.
  • Ability to work in a fast-paced environment.
  • Strong organizational skills.

Preferred certifications:

  • Google Cloud certifications (e.g., Professional Data Engineer, Professional Cloud Architect).