Senior Data Engineer (Databricks)

Location: Not specified

Company

hirify.global provides AI-led cloud migration, managed services, and consulting across AWS and Salesforce, serving clients through offices in EMEA and North America.

What you will do

• Develop and maintain complex ETL/ELT pipelines with Python, PySpark, Databricks, and Snowflake.
• Implement Medallion architecture using Delta Lake and manage Databricks SQL Warehouses.
• Use AWS services for data storage, compute, and secure data movement.
• Perform database administration, query optimization, indexing, clustering, vacuuming, and performance tuning.
• Design Gold-layer Star Schema and Snowflake data models for Power BI and Tableau.
• Manage metadata, permissions, lineage, and automated data quality checks across CI/CD data pipelines.

Requirements

• 5+ years of professional experience as a Data Engineer or Data Engineer/DBA.
• Strong hands-on experience with AWS, including S3, IAM, and EC2, and with Snowflake.
• At least 1 year of intensive hands-on Databricks experience, including Notebooks and Workflows.
• High proficiency in PySpark or Spark Scala and advanced SQL, including window functions and CTEs.
• Practical experience with Delta Lake, Parquet, AWS S3 or Azure ADLS, and Fact and Dimension table design.
• Ability to work independently, troubleshoot distributed processes and database bottlenecks, and collaborate with analysts, product managers, and data scientists.

Nice to have

• Experience with Delta Live Tables or dbt on Databricks or Snowflake.
• Familiarity with MLOps concepts and MLflow.
• AWS, Snowflake, or Databricks certifications.
• Experience with Apache Airflow or other external orchestration tools.

Culture & Benefits

• Work in an Agile environment with end-to-end ownership of data engineering tasks.
• Collaborate with analysts, product managers, and data scientists across cloud and data initiatives.
• Join a global organization serving clients across EMEA and North America.