Senior Data Engineer

Job DescriptionMakpar has an exciting opportunity for a Senior Data Engineer to join our growing team.his role requires expertise in Databricks, SQL, and ETL pipelines, with strong experience building scalable data frameworks to support enterprise decision-making., * Plan, design, build, test, deploy, and maintain highly scalable web-based services utilizing modern

• Build, test, and orchestrate data pipelines in Databricks.
• Design and optimize data structures, schemas, and ETL processes.
• Translate business use cases into SQL queries, reports, and dashboards.
• Manage database objects in development environments without impacting production.
• Automate workflows using Databricks Workflows or the Jobs API.
• Integrate code into GitHub/GitLab and support CI/CD practices.
• Diagnose data gaps/quality issues and design test cases for validation.
• Collaborate with developers and analysts to synchronize code and ensure reliability.

• Active Secret clearance (mandatory requirement).
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 7+ years of professional experience in data engineering.
• Expert-level proficiency in Databricks, Apache Spark, and SQL.
• Experience with Kafka, Airflow, or AWS Glue for ETL.
• Proficiency in CI/CD pipelines and GitHub/GitLab version control.
• Knowledge of cloud platforms (AWS, Azure, GCP).
• Excellent problem-solving, debugging, and collaboration skills.

Clearance Requirement:

• Active Secret clearance (mandatory requirement).