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Data Engineer (Nutrition & Feed sphere)

Moldova

Company Background

Our client is a global leader in food and feed formulation software, specializing in data-driven solutions that optimize production processes. The project operates within a complex Azure-based ecosystem, integrating multiple applications and project workstreams to enhance data management, cloud infrastructure, and analytics capabilities.

Project Description

The team will work on Big Data and Cloud-based solutions that support data warehousing, large-scale data processing, and analytics. Responsibilities include developing and optimizing data pipelines, organizing cloud ecosystems, and ensuring seamless communication between teams in Europe and the Americas.

Technologies

  • Java
  • Scala
  • Python
  • PostgreSQL
  • Amazon Redshift
  • HDFS
  • Spark
  • Impala
  • Oozie
  • Hue
  • Amazon S3
  • AWS Lambda
  • AWS Step Functions
  • Git
  • IntelliJ IDEA
  • Apache Airflow
  • Jenkins

What You'll Do

  • Work in a highly interactive, team-oriented environment, collaborating with cross-functional teams;
  • Understand the products, services, and features to effectively contribute to software development and data solutions;
  • Develop and optimize Big Data pipelines, ensuring scalability and performance;
  • Implement data warehousing solutions and support data workflows with tools like HDFS, Spark, Impala, and Oozie;
  • Manage cloud-based applications and infrastructure, leveraging AWS services such as Amazon S3, AWS Lambda, and AWS Step Functions;
  • Support users in organizing their cloud ecosystems, ensuring smooth integration across multiple applications;
  • Continuously improve the software platform by integrating new tools, frameworks, and technologies;
  • Effectively communicate with teams in Europe and the Americas, ensuring smooth project collaboration;
  • Maintain best practices for version control, CI/CD, and automation using Git, Jenkins, and Apache Airflow;

Job Requirements

  • 3+ years of experience in data engineering or cloud development;
  • Proficiency in Java, Scala, or Python for data processing and backend development;
  • Strong knowledge of PostgreSQL and Amazon Redshift for database management;
  • Experience with Big Data solutions such as HDFS, Spark, Impala, Oozie, and Hue;
  • Hands-on experience with AWS services (Amazon S3, AWS Lambda, AWS Step Functions);
  • Familiarity with CI/CD tools (Jenkins, Apache Airflow) and version control systems (Git);
  • Ability to work in a distributed team environment, collaborating with cross-discipline stakeholders;
  • English proficiency from B1+ for effective communication with global teams;

What Do We Offer

The global benefits package includes:

  • Technical and non-technical training for professional and personal growth;
  • Internal conferences and meetups to learn from industry experts;
  • Support and mentorship from an experienced employee to help you professional grow and development;
  • Internal startup incubator;
  • Health insurance;
  • English courses;
  • Sports activities to promote a healthy lifestyle;
  • Flexible work options, including remote and hybrid opportunities;
  • Referral program for bringing in new talent;
  • Work anniversary program and additional vacation days.

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