JR-124399 Backlog Mid/Srs/Leads Databricks Engineer

We are seeking a Databricks Engineer to drive the design, development, and optimization of data pipelines and analytics solutions on the Databricks Lakehouse platform. This role is ideal for a hands-on technical leader who is passionate about big data technologies, cloud computing and enabling business insights through scalable data architectures.
Locations:

- Serbia

- Albania

- Bosnia and Herzegovina

- Montenegro

- North Macedonia

- Ukraine

- Georgia

- Argentina

- Brazil

- Estonia

- Latvia

- Lithuania

- Finland

- Romania

- Hungary

- Slovakia

- Slovenia

- Czech Republic

Requirements:

- Bachelors or Master's degree in Computer Science, Information Technology, Engineering or related field;

- 5+ years of experience in Data Engineering or Big Data roles;

- 2+ years of hands-on experience with Databricks, Spark (PySpark or Scala) and Delta Lake;

- Strong knowledge of cloud platforms (AWS, Azure or GCP) and modern data architectures (Lakehouse, Data Mesh, etc.);

- Proficiency in SQL, Python and distributed data processing;

- Experience with CI/CD, version control (Git) and DataOps in a data environment;

- Deep understanding of data governance, cataloging and security concepts;

- Experience leading a team or a project, acting as a team/tech lead of a project.

Nice to Have:

- Databricks (Pro, Architect) certification - Experience with machine learning pipelines and MLOps in Databricks;

- Exposure to streaming technologies (Kafka, Spark Structured Streaming);

- Knowledge of DBT, Airflow or other similar transformation and orchestration tools.

Other skills:

- English excellent written and verbal communication skills;

- Ability to work in a global multi-cultural and multi-national company;

- Ability to lead conversations with both technical and business representatives;

- Proven ability to work both independently and as a part of an international project team.

Job Responsibilities:

- Lead end-to-end development of data pipelines, ETL/ELT processes and batch/streaming solutions using Databricks and Apache Spark;

- Design and implement Lakehouse architectures that align with business and technical requirements;

- Collaborate with data scientists, analysts and engineers to deliver high-performance data products and ML features;

- Define and enforce coding standards, best practices and performance tuning strategies across Databricks notebooks and jobs;

- Optimize data models in Delta Lake and implement data governance standards using Unity Catalog;

- Manage integration of data sources across cloud platforms (e.g. AWS, Azure, GCP) using native and third-party connectors;

- Contribute to and lead technical reviews, architecture sessions and mentoring of less experienced engineers

- Automate infrastructure deployment with tools like Terraform, Databricks CLI or others;

- Ensure data platform solutions are secure, compliant, and scalable across global business units.

What We Offer:

- Competitive salary;

- 100% remote opportunity;

- Flexible work environment (in-office, remote, or hybrid depending on preferences and manager approval);

- Opportunities for professional growth and career advancement;

- Collaborative and innovative work environment;

- Paid time off, including holidays, vacation and sick leave;

- Benefits may vary by location and will be confirmed during the interview process.

Job ID: JR - 124399 

Originally posted on Himalayas