Data Engineering Expert

2 days ago


Helsinki, Uusimaa, Finland Tata Consultancy Services Full time

Tata Consultancy Services is an IT services, consulting and business solutions organization that has been partnering with many of the world's largest businesses in their transformation journeys for over 56 years.

About Our Company

Our company has a unique Location Independent Agile delivery model, recognized as a benchmark of excellence in software development.

A part of the Tata group, India's largest multinational business group, we have over 607,000 of the world's best-trained consultants in 55 countries.

We generated consolidated revenues of US $29 billion in the fiscal year ended March 31, 2024, and are listed on the BSE and the NSE in India.

Company Overview

We operate in the Nordic countries since 1991. We have a total of 20,000 experts serving our Finnish, Swedish, Norwegian and Danish customers.

We received the Top Employer recognition in Finland for five years in a row.

For more information, visit www.tcs.com

Job Description

We're searching for a talented Senior Data Engineer with a strong technical background to join our team and drive innovation.

If you have a passion for data engineering and the expertise to shape high-impact projects, we'd love to connect with you.

Skill Set Required:
  • Programming & Big Data Tools: Proficient in PySpark, Apache Airflow
  • Databases: Expertise with Oracle and PL/SQL
  • ETL Tools: Strong experience in Informatica
  • Operating Systems: Proficiency in Unix
  • Containerization & Orchestration: Familiarity with Docker and Kubernetes
  • CI/CD Tools: Knowledge of GitHub Actions, JFrog
Responsibilities:
  • Design, build, and maintain robust data pipelines that are scalable, efficient, and meet business needs.
  • Collaborate with cross-functional teams to understand and translate business requirements into data solutions.
  • Ensure data quality, integrity, and governance by implementing best practices in data management.
  • Develop ETL processes and data flows using tools like PySpark, Informatica, and Airflow.
  • Support and enhance data platforms, databases, and data warehouses to enable advanced analytics.
  • Implement CI/CD pipelines using GitHub Actions and JFrog for automated deployment and version control.
  • Troubleshoot data pipelines and address any issues with real-time, batch data processing, and integrations.


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