We are seeking an experienced
Senior Databricks Engineer
with strong expertise in
Databricks, Python, PySpark, and SQL
to design, develop, and optimize large scale data processing solutions. The ideal candidate will have hands on experience building data pipelines, implementing ETL/ELT processes, and working with cloud based data platforms to support analytics and business intelligence initiatives.
Key Responsibilities
Design, develop, and maintain scalable data pipelines using
Databricks, PySpark, Python, and SQL .
Build and optimize ETL/ELT frameworks for processing large volumes of structured and unstructured data.
Develop data ingestion solutions from multiple source systems into cloud data lakes and warehouses.
Optimize Spark jobs for performance, scalability, and cost efficiency.
Collaborate with data architects, analysts, and business stakeholders to understand data requirements.
Implement data quality, validation, and monitoring frameworks.
Perform data modeling and transformation for reporting and analytics use cases.
Troubleshoot production issues and provide timely resolutions.
Follow best practices for coding, testing, version control, and deployment.
Required Skills
8+ years of experience in Data Engineering.
Strong hands on experience with
Databricks .
Expertise in
PySpark, Python, and SQL .
Experience with Spark optimization techniques and performance tuning.
Strong understanding of data warehousing concepts and dimensional modeling.
Experience building ETL/ELT pipelines.
Knowledge of Delta Lake, Spark SQL, and Databricks workflows.
Experience with Git, CI/CD, and Agile methodologies.
Strong analytical and problem solving skills.
Preferred Skills
Experience with cloud platforms such as
Azure, AWS, or GCP .
Knowledge of
Azure Data Factory (ADF) , Airflow, or other orchestration tools.
Experience with streaming technologies such as Kafka or Structured Streaming.
Exposure to Power BI, Tableau, or other analytics tools.
Databricks or cloud certifications are a plus.
Qualifications
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
Excellent communication and stakeholder management skills