Databricks Engineer

What is the impact you want to make?

Unleash your biggest strengths, apply skills & knowledge, learn new things, connect with your peers and build your career with us!

Why rinf.tech?

#EngineerOfTheFuture, #PeopleofManyTalents

  • At rinf.tech, you’ll encounter friendly people who are eager to explore and reinvent the world of technology.
  • We encourage ideas - we like to share and learn from each other. We’re all in for curious & ambitious people.

#GrowOpportunities

  • We continuously invest in developing core teams focused on technologies like Blockchain, AI, and IoT -  www.rinf.tech/careers/core-blockchain-and-ai-teams/
  • Our Technical Management team, possesses a robust technical background. Many of our team members have advanced to strategic roles through internal promotions.
  • In a state of mutual willingness to share & grow, our RINFers commit to a minimum tenure of 2.5 years on a project.

#EngineeringExcellence

  • Fail fast, learn fast: we experiment, we iterate, we know when to stop and we don't repeat the same mistakes.
  • The right technology stack for the right problem: we don't force technology choices just because we know them; our focus is on solving problems, not on pushing predefined stacks.

#Innovation

Why do we do what we do?

We inspire one another to share our tech-works in this amazing and abundant world. So we became developers, innovators, thinkers, software builders, and hardware makers!

Our Vision!

Founded in 2006 with 650+ engineers & global presence (8 delivery centers in Europe & North America) we strive to become a leading East-European technology partner for growing organizations in need of digital transformation of their products and services!

What you’ll do

  • Design, develop, and maintain production-grade ETL/ELT pipelines using Apache Spark on Databricks
  • Build robust data ingestion workflows from multiple sources including databases, APIs, streaming platforms, and cloud storage
  • Implement and optimize Delta Lake architectures following medallion architecture patterns (Bronze, Silver, Gold)
  • Develop real-time streaming data pipelines using Structured Streaming and Delta Live Tables
  • Design and implement scalable data lakehouse solutions on Databricks
  • Optimize Spark jobs for performance, cost-efficiency, and reliability
  • Configure and manage Databricks workspaces, clusters, and compute resources
  • Implement data partitioning, indexing, and caching strategies for optimal query performance
  • Implement CI/CD pipelines for Databricks notebooks, jobs, and workflows
  • Collaborate with data scientists to productionize ML models using MLflow
  • Implement data governance policies using Unity Catalog
  • Document technical designs, data lineage, and operational procedures
  • Participate in code reviews and mentor junior team members
  • Ensure compliance with data security, privacy, and regulatory requirements

What you need to be successful

  • Proven track record of building production-scale data pipelines processing large datasets
  • Experience with at least one major cloud platform (Azure, AWS, or GCP)
  • Strong proficiency in Python and SQL; Scala experience is a plus
  • Databricks: Expert knowledge of Apache Spark (PySpark, Spark SQL), Delta Lake, Delta Live Tables
  • Data Processing: Experience with batch and streaming data processing patterns
  • Cloud Platforms: Proficiency with Azure Data Lake Storage, AWS S3, or GCP Cloud Storage
  • Version Control: Git/GitHub for code collaboration and version management
  • Orchestration: Experience with workflow orchestration tools (Databricks Workflows, Airflow, Azure Data Factory)
  • Strong understanding of distributed computing concepts and data architecture
  • Experience with data modeling, dimensional modeling, and data warehouse design
  • Knowledge of data quality frameworks and testing methodologies
  • Ability to write efficient, maintainable, and well-documented code
  • Strong problem-solving skills and attention to detail

Next Steps for you!

  • Apply
  • CV screening
  • HR Interview
  • Technical Interview
  • Offer presented by our CEO

Meet us!

Let's meet! We invite you to drop by anytime for a tour of our office, without any commitment.

Join the #PeopleofManyTalents #EngineerOfTheFuture