Data Engineer - Poland at Infosys
Warszawa, mazowieckie, Poland -
Full Time


Start Date

Immediate

Expiry Date

01 Jul, 25

Salary

0.0

Posted On

01 Apr, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Engineering, Azure, Relational Databases, Analytical Skills, Apache Spark, Jenkins

Industry

Information Technology/IT

Description

Today, the corporate landscape is dynamic, and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.
At Infosys, we assure that your career will never stand still, we will inspire you to build what’s next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.
Please note: for this role we can not consider candidates who require company support to legally live and work in Poland

REQUIRED SKILLS

  • 3+/5+ years of experience in data engineering.
  • Proficiency with Databricks and Apache Spark.
  • Strong SQL skills and experience with relational databases.
  • Experience with big data technologies (e.g., Hadoop, Kafka).
  • Knowledge of data warehousing concepts and ETL processes.
  • Experience with CI/CD tools, particularly Jenkins.
  • Excellent problem-solving and analytical skills.
  • Solid understanding of big data fundamentals and experience with Apache Spark.

PREFERRED SKILLS

  • Familiarity with cloud platforms (e.g., AWS, Azure).
  • Experience with version control systems (e.g., BitBucket).
  • Understanding of DevOps principles and tools (e.g., CI/CD, Jenkins).
  • Databricks certification is a plus.
Responsibilities
  • Design, develop, and maintain scalable data pipelines on Databricks using PySpark.
  • Collaborate with data analysts and scientists to understand data requirements and deliver solutions.
  • Optimize and troubleshoot existing data pipelines for performance and reliability.
  • Ensure data quality and integrity across various data sources.
  • Implement data security and compliance best practices.
  • Monitor data pipeline performance and conduct necessary maintenance and updates.
  • Document data pipeline processes and technical specifications.
  • Should be flexible to work on both Development and L2 Support tasks.
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