- Prepare, clean, and transform data to support analytics, reporting, and data-driven decision-making
- Develop, optimize, and manage data pipelines for collecting, storing, transforming, and distributing data across systems
- Manage and integrate various databases, ensuring seamless access to both structured and unstructured data
- Design, build, and maintain scalable data infrastructure and tools that support data analysis and machine learning processes
- Collaborate closely with cross-functional teams, including data scientists, analysts, and engineers, to deliver actionable insights and data solutions
- Perform initial data analysis, generating reports, visualizations, and insights to inform business decisions and identify trends
- Engage in continuous skills development and stay up to date with the latest industry trends, tools, and technologies
- 2+ years of experience in Data Engineering, Data Architecture, or a similar role
- Broad knowledge of various data tools and data storage technologies
- Strong proficiency in SQL and Python
- Experience working with Spark (PySpark), real-time data processing, and big data solutions; experience with Databricks is a plus
- Experience designing and building data warehouses and data lakes, including data modeling and mapping using techniques such as the medallion architecture and star schema (experience with BigQuery is a plus)
- Experience developing data pipelines/ETL processes and building ingestion pipelines that deliver scalable data products for analytics
- Familiarity with orchestration frameworks such as Dataform, Airflow, and GCP Workflows
- Familiarity with cloud platforms, especially GCP services like GCS, Cloud Functions, and Dataproc
- Familiarity with containerization and infrastructure-as-code (IaC) tools (e.g., Docker, Kubernetes, Terraform)
- Experience working in an Agile environment (Scrum, Kanban, etc.)
- B2 level of English or higher, with experience communicating with English-speaking customers
At Vention, we assemble senior-level, dedicated teams of developers to help fast-growing startups and innovative enterprises drive impact and achieve their goals. We’ve delivered solutions across multiple domains, including FinTech, PropTech, AdTech, HealthTech, e-commerce, and more.
Our Data team works with clients to create data platforms from scratch or modify and update existing platforms. The tech stack depends on the project, but we mainly use Spark (along with Scala, Python, or Java) – as well as Apache Kafka, Apache Cassandra, Apache Hadoop, Apache Parquet, and AWS.
Internal knowledge transfer activities are conducted within the Data Engineering Family (which includes data practice & data competency) – it is a space for all of our specialists to share their experiences, learn new skills, host meetups, mentor others, and more.
Our culture is rooted in the belief that ongoing growth benefits employees and the company alike. Because of that, we offer:
- An individualized approach to career development, tailoring growth plans to every role
- Access to our technology mentorship program as a mentor or mentee
- The opportunity to contribute to up to 300 original projects in 30 different fields
And that's not all! We also offer:
- Expanded medical support through Luxmed Complex
- Сonferences & meetups, organized by our company
- Corporate getaway & teambuilding activities
- Access to credits to spend across a variety of stores, restaurants & cafes through Kafeteria My Benefit
- And referral bonuses
Engineer your success!