Sr. Databricks Developer

About Client:
The client provides information technology (IT) services, including business outsourcing, infrastructure technology, and application services. The application service offered by the company includes application development, maintenance, and support. The markets served by the company are financial services and insurance, healthcare, manufacturing, government, transportation, communications, and consumer and retail industries.



Rate Range: $65-$70/Hr



Job Description:

• We are looking for a Databricks Developer with strong experience in Python and Apache Spark to design, develop, and optimize scalable data pipelines and cloud-based data solutions.
• The ideal candidate will have hands-on expertise in Databricks, PySpark, SQL, and modern data engineering practices.

Key Responsibilities:

• Design, develop, and maintain ETL/ELT pipelines using Databricks and PySpark
• Build scalable batch and real-time data processing solutions using Apache Spark
• Develop data transformation workflows using Python, PySpark, and Spark SQL
• Implement Delta Lake solutions and optimize data processing performance
• Create and manage Databricks notebooks, jobs, and workflows
• Ensure data quality, validation, logging, and exception handling
• Optimize Spark performance using partitioning, caching, and tuning techniques
• Collaborate with cross-functional teams to gather requirements and deliver solutions- Support CI/CD, deployment automation, and production releases
• Troubleshoot and resolve issues in data pipelines and platform processes.

Required Skills:-

• Strong hands-on experience with Databricks
• Strong Python programming skills
• Expertise in Apache Spark, PySpark, and Spark SQL- Strong SQL and data transformation skills
• Experience with Delta Lake and lakehouse concepts- Knowledge of ETL/ELT and data pipeline design
• Experience with AWS, Azure, or GCP- Familiarity with Git, CI/CD, and Agile practices
• Good problem-solving and communication skills

Preferred Skills:

• Experience with Airflow, Azure Data Factory, or Databricks Workflows
• Knowledge of Kafka or streaming frameworks
• Experience with MLflow or analytics platforms
• Understanding of data governance and security best practices

About ApTask:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-certified company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

If you have any concerns or queries about your personal information, please feel free to contact our compliance team at

businessexcellence@aptask.com

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