Data Engineer (Databricks / Spark)

About the Position

We are seeking a Data Engineer with expertise in Databricks and Spark to join our team and build modern lakehouse platforms and scalable analytics solutions.

About the Company

We’re Techbar-a tech services company led by seasoned delivery professionals and engineers. We help startups, product companies, and digital businesses build and scale software teams through staff augmentation, dedicated squads, and full-cycle product delivery.

Role Overview

We are looking for a Data Engineer to build modern lakehouse platforms and scalable analytics solutions for our clients. You will work with cloud-native data stacks, help design reliable ELT pipelines on Databricks, and support data-driven decision-making across multiple products.

Responsibilities

• Design, build, and maintain scalable ELT/ETL pipelines on Databricks
• Develop and maintain data transformations and analytics models using PySpark, Spark SQL, and Delta Live Tables
• Work with the Databricks Lakehouse Platform and Delta Lake as the primary data platform
• Optimize Spark jobs, cluster configuration, and pipeline performance
• Collaborate with analytics, BI, and product teams to deliver reliable datasets
• Implement data quality checks, monitoring, and testing (e.g., DLT expectations)
• Work with orchestration tools (Databricks Workflows, Airflow, or similar)
• Maintain documentation and data lineage using Unity Catalog
• Apply medallion architecture (bronze/silver/gold) for reliable, layered data
• Support analytics and reporting use cases
• Improve data platform scalability and reliability

Requirements

• 5+ years of experience in Data Engineering or Analytics Engineering
• Strong SQL skills and experience optimizing complex queries
• Hands-on experience with Databricks (Spark, Delta Lake) or a similar lakehouse/big data platform
• Experience with PySpark and Spark SQL for data modeling and transformations
• Experience building data pipelines in cloud environments
• Experience with orchestration tools (Databricks Workflows, Airflow, or similar)
• Python for data processing and automation
• Understanding of data modeling concepts (star schema, dimensional modeling, medallion architecture)
• Experience working in Agile teams
• Good English communication skills

Nice to Have

• Experience with Unity Catalog and data governance
• Experience with Delta Live Tables and/or dbt on Databricks
• Experience with modern data stack tools (Fivetran, Stitch, Airbyte, etc.)
• Experience with streaming data pipelines (Spark Structured Streaming, Kafka)
• Experience with BI tools (Power BI, Tableau, Looker, etc.)
• Experience with data quality frameworks (Great Expectations or similar)
• Experience with cloud platforms (AWS, Azure, or GCP)

We Offer

• Remote-first collaboration model
• Long-term international projects
• Competitive compensation
• Career and professional growth opportunities
• Work with modern data technologies and global clients

Contact Us

Thank you for reaching out! Your challenge accepted, our team will contact you soon.

Homepage

Services

Something went wrong

We couldn’t send your message. Please try again or contact us directly at [email protected].