Middle Data Engineer

4 Weeks ago • 3-5 Years • Data Analyst

About the job

Job Description

Growe is seeking a Middle Data Engineer to design and implement end-to-end ETL workflows using Apache Airflow. Responsibilities include defining task dependencies and scheduling, establishing best practices for S3 data organization (including partitioning and tagging), managing access controls and permissions using IAM policies, and collaborating with cross-functional teams. The ideal candidate will have proven experience with AWS services (S3, Athena, Glue, IAM, Redshift), strong SQL skills, and experience with ETL processes, data modeling, and version control (Git). Experience with Terraform is required, while familiarity with MLOps, Kafka, and DBT is a plus. The role requires excellent problem-solving skills and strong communication abilities.
Must have:
  • AWS experience (S3, Athena, Glue, IAM, Redshift)
  • Apache Airflow expertise
  • ETL processes & data modeling
  • SQL proficiency
  • Terraform experience
  • Strong communication
Good to have:
  • MLOps experience
  • Kafka experience
  • DBT experience
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Growe welcomes those who are excited to:
  • Create end-to-end ETL workflows using Apache Airflow, define task dependencies and scheduling to ensure timely and accurate data processing;

  • Establish best practices for organizing data within S3 buckets, including folder structures, partitioning strategies, and object tagging for improved data discoverability and management;

  • Provide access controls and permissions management on S3 buckets and Athena tables using IAM policies, ensure compliance with regulatory requirements and data governance standards;

  • Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver scalable and reliable solutions;

  • Document data storage architectures, ETL pipelines, and query optimization techniques maintain clear and up-to-date documentation for reference and knowledge sharing within the team.

We need your professional experience:
  • Proven experience working as a data engineer with a focus on AWS services;

  • Strong proficiency in building data pipelines using Apache Airflow;

  • Expertise in AWS services such as S3, Athena, Glue, IAM roles, Redshift;

  • Solid understanding of ETL processes and data modeling concepts;

  • Proficiency in SQL and experience working with large datasets;

  • Familiarity with version control systems (e.g., Git) and CI/CD pipelines;

  • Experience with Terraform; 
  • Excellent problem-solving and troubleshooting skills;

  • Understanding of MLOps will be a plus;

  • Experience with Kafka and DBT will be a plus;
  • Level of English: Intermediate/Upper-Intermediate.

We appreciate if you have those personal features:
  • Strong communication and presentation skills;

  • Attention to detail;

  • Proactive and result-oriented mindset.

We are seeking those who align with our core values:
  • GROWE TOGETHER: Our team is our main asset. We work together and support each other to achieve our common goals; 

  • DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and driving Growe to success;

  • BE READY FOR CHANGE: We see challenges as opportunities to grow and evolve. We adapt today to win tomorrow.

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About The Company

Here at Growe, we operate boldly in the iGaming and Entertainment industries, uniting brands worldwide and gathering expertise from diverse markets.


We focus on developing and implementing cutting-edge entertainment technology platforms and payment solutions, propelling assets' expansion and sustainable growth. We dare to unlock potential and seize opportunities, from launching new iGaming brands in Asia, Africa, and Latin America to providing exceptional opportunities to our team players and an extraordinary chance to succeed.


Check out our vacancies and join our growing team of opportunities unlockers.


Let's grow together!

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