The posting
Position Overview
We are looking for a Data Engineer with hands-on experience in building scalable data pipelines and data engineering solutions on the Databricks Lakehouse Platform. The ideal candidate should have strong expertise in Python, PySpark, SQL, Databricks, AWS, and REST API integrations for data ingestion, managing large volumes of data, and data export
ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.
Job Responsibilities:
Basic Qualification:
Preferred Qualifications:
- 9+ years of experience in Data Engineering, including 3+ years of hands-on experience with Databricks.
- Prior experience in a Lead Data Engineer / Technical Lead role, with experience guiding engineers and driving technical decisions.
- Strong hands-on experience with Databricks, Apache Spark, and SQL.
- Experience designing, developing, and optimizing ETL/ELT data pipelines.
- Experience with Auto Loader, Spark Declarative pipelines, Kafka, Airflow, or dbt is a plus.
- Databricks certification is an added advantage. Give me Jd for lead role
We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.



