Junior/ Strong Junior Data Engineer

Remote
Ukraine
We are seeking a Professional Data Engineer to join our dynamic team, where you will play a crucial role in developing and maintaining robust data solutions. As a Professional Data Engineer, you will collaborate with data science, business analytics, and product development teams to deploy cutting-edge techniques and utilise best-in-class third-party products. The Data team operates with engineering precision, prioritising security, privacy, and regulatory compliance in every initiative. As a Professional Data Engineer, you will contribute to the team's commitment to utilising the latest tools and methodologies, ensuring that our data solutions align with industry best practices.

Requirements:

  • 3+ years of experience as a data engineer.
  • Proficiency in SQL.
  • Experience with modern cloud data warehousing, data lake solutions like Snowflake, BigQuery, Redshift, Azure Synapse.
  • Experience with ETL/ELT, batch, streaming data processing pipelines.
  • Excellent ability to investigate and troubleshoot data issues, providing fixes and proposing both short and long-term solutions.
  • Knowledge of AWS services (like S3, DMS, Glue, Athena, etc.)
  • Familiar with dbt or other data transformation tools.
  • Familiarity with GenAI, and how to leverage LLMs to resolve engineering challenges
  • Other Desired Experience: Experience with AWS services and concepts (like EC2, ECS, EKS, VPC, IAM, etc).
  • Familiar with Terraform and Terragrunt.
  • Experience with Python Experience with orchestration tools like Dagster, Airflow, AWS Step functions, etc.
  • Experience with pub-sub, queuing, and streaming frameworks such as AWS Kinesis, Kafka, SQS, SNS. Familiar with CI/CD pipelines and automation.

Responsibilities:

  • Develop and maintain ETL pipelines using SQL and/or Python.
  • Use tools like Dagster/Airflow for pipeline orchestration
  • Collaborate with cross-functional teams to understand and deliver data requirements.
  • Ensure a consistent flow of high-quality data using stream, batch, and CDC processes.
  • Use data transformation tools like DBT to prepare datasets to enable business users to self-service.
  • Ensure data quality and consistency in all data stores.
  • Monitor and troubleshoot data pipelines for performance and reliability.

 

What we offer:

  • Annual paid vacation of 18 working days.
  • Extra vacation days for long-lasting cooperation.
  • Annual paid sick leave of 10 days.
  • Maternity/Paternity leave.
  • The opportunity for sabbatical leave.
  • Marriage and Parenthood Package.
  • Compensation for sports activities or health insurance covering (up to 250$ per year) — after the trial period.
  • Career development plan.
  • English and Spanish classes.
  • Paying taxes and managing PE (Private Entrepreneur).
  • Technical equipment.
  • Internal Referral program.
  • Opportunity to take part in company volunteering activities.
  • Sombra is a “Friendly to Veterans” award-holder.
Galyna Oliyarchyk

Recruitment Partner

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