Data Engineer (Big Data, AWS)

Infosys Limited; Warszawa; Hybrid; PLN 120,000 - 180,000; Full time

Job summary

A multinational IT services company is looking for a Data Engineer in Poland. Responsibilities include developing scalable Java applications and managing Hadoop solutions. Candidates should have experience with Big Data and AWS. The role offers a hybrid work model and various employee benefits, including a multisport card and medical care.

Benefits

Multisport card

Medical care

Career in multinational company

Social benefits

Training program

Qualifications

• Prior experience in setting up Big Data and Deployment Pipelines on AWS.
• Proficient in Java testing frameworks like JUnit and Mockito.
• Experience with Spark Streaming and performance tuning.

Responsibilities

• Build/manage Java applications ensuring best practices.
• Develop comprehensive test cases for software reliability.
• Implement and manage Hadoop-based solutions.

Skills

Java programming

Spring Framework

Hibernate

Apache Spark

Hadoop

MySQL

Cassandra

Job description

Position: Data Engineer (Big Data, AWS)
Location: Krakow, Wroclaw, Warsaw
Type of work: Hybrid (2-3 days per week in office) - obligatory
Contract: only contract of employment
Salaries: base + financial bonus

Please note: for this role we cannot consider candidates who require company support to legally live and work in Poland

Job Description:

We are looking for a Data Engineer based out of Poland with prior experience in setting up Big Data, ML and Deployment Pipelines on AWS.

Skills and Responsibilities:

• Build/manage robust, efficient, and scalable Java applications using core Java concepts and frameworks such as Spring and Hibernate, ensuring adherence to best coding practices.
• Develop comprehensive test cases using Java testing frameworks like JUnit, TestNG, and Mockito to ensure the quality and reliability of the software.
• Develop, test, and optimize Apache Spark applications using Java/Scala, leveraging knowledge of Spark Streaming, Spark SQL, and performance tuning in Spark.
• Implement and manage Hadoop-based solutions, utilizing knowledge of Hadoop architecture and components, and optimize the utilization of different file formats within the Hadoop ecosystem.
• Design, implement, and manage MySQL and Cassandra, including data model design, cluster setup, and performance tuning to ensure optimal database performance.

We Offer:

• Multisport card and MyBenefit program
• Medical care
• Career in the multinational company
• Opportunity to take part in international projects and gain experience with various businesses
• Set of social benefits to choose from
• Salary adequate to your competencies + quarter bonus
• Training program