Data Engineer

Tata Consultancy ServicesNorth Holland, NL
Published on

About the Role

A Data Engineer is responsible for designing, building, and maintaining the infrastructure that enables data collection, storage, and analysis. They work closely with data scientists, analysts, and other engineers to ensure that large datasets are accessible, reliable, and properly structured. Data Engineers play a crucial role in the data pipeline, building systems to acquire, transform, and load (ETL) data for analytics, reporting, and machine learning applications.

Responsibilities

  • Design and Build Data Pipelines: Develop, construct, test, and maintain data pipelines to extract, transform, and load (ETL) data from various sources.
  • Data Integration: Integrate data from multiple internal databases, external APIs, and third-party vendors to ensure structured reporting and analytics.
  • Data Storage and Management: Design and manage data storage solutions supporting large-scale data processing while implementing best practices for security and compliance.
  • Data Transformation: Clean and enrich raw data, ensuring its suitability for analysis and standardization.
  • Automation and Optimization: Automate repetitive tasks to improve efficiency in data workflows and troubleshoot performance bottlenecks.

Skills and Qualifications

  • Educational Background: Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or similar.
  • Technical Skills: Proficiency in programming languages such as Python or Java, along with SQL expertise. Experience with NoSQL databases, data warehousing solutions, ETL tools, and cloud platforms is crucial.
  • Soft Skills: Strong problem-solving abilities, excellent communication skills, and attention to detail.

Experience

  • 3 years of experience in data engineering, preferably in large or complex environments, including data governance and compliance protocols.

Preferred Qualifications

  • Experience with machine learning, familiarity with stream processing frameworks, and certifications in cloud platforms would be advantageous.

Work Environment

A collaborative and fast-paced work environment where state-of-the-art technologies are utilized. TCS fosters a supportive and dynamic team culture, encouraging diversity and innovation according to privacy regulations.