Senior Databricks Engineer (SQL, Python, PySpark)

APN Consulting, Inc. is a progressive IT staffing and services company offering innovative business solutions to improve client business outcomes. We focus on high impact technology solutions in ServiceNow, Fullstack, Cloud & Data, and AI / ML. Due to our globally expanding service offerings we are seeking top-talent to join our teams and grow with us.

Job Description: Senior Databricks Engineer (SQL, Python, PySpark)

Experience: 8+ Years

Location: Santa Clara, CA Day1 osnite

In-Person interivew after L1 is clear

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

We are committed to fostering a diverse, inclusive, and equitable workplace where individuals from all backgrounds feel valued and empowered to contribute their unique perspectives. We strongly encourage applications from candidates of all genders, races, ethnicities, abilities, and experiences to join our team and help us build a culture of belonging.