Posted 12 days ago
Senior Data EngineerTechery · Kyiv
Senior Data Engineer
KyivHybridFull-time
AI Summary
Designs, builds and maintains ELT pipelines and an AWS data lake, processing large data volumes with Spark and Python to keep data reliable, well-structured and analytics-ready.
About this role
Since 2013, Techery has been bridging the gap between business vision and technology. As a product and consulting company, we focus on building our own products that are both technologically advanced and tailored to meet real-world needs. Every product we create delivers tangible value and drives business growth. Innovation is at our core, and we are increasingly leveraging the power of AI to develop cutting-edge features and explore new possibilities within our product portfolio.
Beyond our product development, we act as a consulting software company for non-tech clients and are in full charge of solving their challenges. Whether it’s addressing complex issues or turning innovation into reality, our commitment ensures that the best visions are fully realized, providing clients with comprehensive solutions that drive success.
About the role
You will build and maintain ELT pipelines and a data lake on AWS, working with large data volumes and making sure data is reliable, well-structured, and ready for analytics.
Our stack: Spark, Python, Athena, Redshift, Fivetran, Apache Iceberg,
Apache Airflow, Census, SageMaker, Glue DQDL, OpenLineage.
About the role
You will build and maintain ELT pipelines and a data lake on AWS, working with large data volumes and making sure data is reliable, well-structured, and ready for analytics.
Our stack: Spark, Python, Athena, Redshift, Fivetran, Apache Iceberg,
Apache Airflow, Census, SageMaker, Glue DQDL, OpenLineage.
Key Responsibilities
• Design, build, and maintain ELT pipelines to move and transform data
• Develop and optimize data processing jobs with Spark and Python
• Build and support data lake storage and data models on AWS (Athena, Redshift, Apache Iceberg)
• Work with relational databases (MSSQL and similar) as data sources
• Set up and support data ingestion with Fivetran
• Ensure data quality and lineage (Glue DQDL, OpenLineage), pipeline reliability, and performance
• Collaborate with engineers and stakeholders on the project
• Build and support data lake storage and data models on AWS (Athena, Redshift, Apache Iceberg)
• Work with relational databases (MSSQL and similar) as data sources
• Set up and support data ingestion with Fivetran
• Ensure data quality and lineage (Glue DQDL, OpenLineage), pipeline reliability, and performance
• Collaborate with engineers and stakeholders on the project
Skills, Knowledge & Expertise
• Strong experience as a Data Engineer building ELT pipelines
• Hands-on experience with AWS data services
• Solid Spark and Python skills
• Experience with relational databases (MSSQL or similar) and strong SQL
• Experience with data lake architectures
• Experience with Fivetran
• Good written and spoken English
Nice to have
• Apache Airflow
• Apache Iceberg
• Experience with Census, SageMaker, Glue DQDL or OpenLineage
• Hands-on experience with AWS data services
• Solid Spark and Python skills
• Experience with relational databases (MSSQL or similar) and strong SQL
• Experience with data lake architectures
• Experience with Fivetran
• Good written and spoken English
Nice to have
• Apache Airflow
• Apache Iceberg
• Experience with Census, SageMaker, Glue DQDL or OpenLineage
Benefits
- Our technology-driven mindset - we leverage AI and innovative tools to meet our business needs and stay ahead in a rapidly evolving landscape;
- Your growth matters - we offer compensated learning opportunities and an environment that fosters development. You decide your path, and we provide the tools and tasks to help you reach your goals;
- Transparent communication - is fundamental at every level and in all aspects of our work. We prioritize honesty and ensure that open dialogue is expected in everything we do. This clarity and openness are essential for continuous improvement and collective success;
- Our team of like-minded people - work alongside individuals who are not only skilled like yourself but also passionate about their craft and career. We are truly interested in what we do and we don’t stand still. Everyone is expected to take initiative and build impactful things;
- Work-life integration - it isn’t about finding a 'perfect' balance; it’s about finding a balance that works for you to succeed in various aspects of your life, both professionally and personally. We value a well-rounded life and offer flexibility through our unlimited vacation policy!
In the cities where we have offices (Kyiv, Dnipro), we have a mandatory hybrid work format — 3 days in the office and 2 days remotely.
Skills
Apache AirflowApache IcebergAthenaAWSCensusData Lake ArchitectureELT PipelinesFivetranGlue DQDLMSSQLOpenLineagePythonRedshiftSagemakerSparkSQL
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