Middle Data Engineer

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 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 possibilities to our team players and an extraordinary chance to succeed.

We create a talented team, enabling us to maintain at the leading positions in technological and marketing accomplishments, constantly overcoming new horizons.

At Growe, there are no limits to our ambitions! We boldly break stereotypes and strive for unparalleled achievements in an ever-changing industry.

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.

What we offer:

• Tax coverage;
• Medical insurance
• Benefit Cafeteria (compensation for the gym/stomatology/psychological service & etc.);
• 100 % paid sick leaves;
• Paid vacation;
• Annual salary review (based on performance);
• OKR-based bonus system;
• Individual annual training budget which allows visiting paid conferences, training sessions, English lessons, workshops, etc.;
• Personal development plan;
• Corporate events and team-building activities.