Job description

#3682

We are seeking a Middle/Senior Data Engineer with proven expertise in AWS, Snowflake, and dbt to design and build scalable data pipelines and modern data infrastructure. You'll play a key role in shaping the data ecosystem, ensuring data availability, quality, and performance across business units.

Requirements:

• 4+ years of experience in Data Engineering roles.

• Experience with the AWS cloud platform.

• Proven experience with Snowflake in production environments.

• Hands-on experience building data pipelines using dbt.

• Python skills for data processing and orchestration.

• Deep understanding of data modeling and ELT best practices.

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

• Strong communication and collaboration skills.

Must-Have:

• Strong experience with Snowflake(e.g., performance tuning, storage layers, cost management)

• Production-level proficiency with dbt (modular development, testing, deployment)..

• Experience developing Python data pipelines.

• Proficiency in SQL (analytical queries, performance optimization).

Nice-to-Have:

• Experience with orchestration tools like Airflow, Prefect, or Dagster.

• Familiarity with cloud platforms (e.g., GCP, or Azure).

• Knowledge of data governance, lineage, and catalog tools.

• Experience in working in Agile teams and CI/CD deployment pipelines.

• Exposure to BI tools like Tableau or Power BI.

We offer*:

• Flexible working format - remote, office-based or flexible

• A competitive salary and good compensation package

• Personalized career growth

• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)

• Active tech communities with regular knowledge sharing

• Education reimbursement

• Memorable anniversary presents

• Corporate events and team buildings

• Other location-specific benefits

*not applicable for freelancers