{"schemaVersion":"jobsearcher.job.v1","id":"672ee3dcfefb495af5f2dbba","url":"https://jobsearcher.com/jobs/672ee3dcfefb495af5f2dbba","canonicalUrl":"https://jobsearcher.com/jobs/672ee3dcfefb495af5f2dbba","title":"Databricks Python Developer","description":"Must Have Technical/Functional Skills \r • 10+ years of experience in Data Engineering, Data Warehousing, or Big Data development. \r • 5+ years of hands-on experience with Databricks, Python, and PySpark. \r • Strong hands-on experience in Databricks, Python, and PySpark development. \r • Experience building and supporting large-scale ETL/ELT data pipelines. \r • Strong knowledge of Spark SQL, Delta Lake, and Data Lakehouse architecture. \r • Experience working with structured and unstructured data from multiple sources. \r • Strong SQL skills and experience with relational databases. \r • Experience with data modeling, data transformation, and data quality processes. \r • Knowledge of orchestration tools such as Airflow, ADF, or similar. \r • Experience with Git, CI/CD, and Agile development methodologies. \r • Strong analytical, debugging, and performance tuning skills. \r • Excellent verbal and written communication skills. \r \r Roles Responsibilities \r • Design, develop, and maintain data pipelines using Databricks, Python, and PySpark. \r • Build scalable data ingestion, transformation, and integration solutions. \r • Collaborate with Data Architects, Analysts, and business teams to deliver data solutions. \r • Develop and optimize batch and real-time data processing workflows. \r • Ensure data quality, integrity, security, and governance standards are met. \r • Monitor, troubleshoot, and resolve production data pipeline issues. \r • Optimize Spark jobs, SQL queries, and Databricks workloads for performance. \r • Participate in data modeling, code reviews, and platform enhancement activities. \r • Create technical documentation and support production deployments. \r • Participate in Agile ceremonies and contribute to continuous improvement initiatives.","company":"Pb Consulting","rawCompany":"pb consulting","city":"Garfield","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-11-05T11:06:17.427Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Databricks Python Developer","description":"Must Have Technical/Functional Skills \r • 10+ years of experience in Data Engineering, Data Warehousing, or Big Data development. \r • 5+ years of hands-on experience with Databricks, Python, and PySpark. \r • Strong hands-on experience in Databricks, Python, and PySpark development. \r • Experience building and supporting large-scale ETL/ELT data pipelines. \r • Strong knowledge of Spark SQL, Delta Lake, and Data Lakehouse architecture. \r • Experience working with structured and unstructured data from multiple sources. \r • Strong SQL skills and experience with relational databases. \r • Experience with data modeling, data transformation, and data quality processes. \r • Knowledge of orchestration tools such as Airflow, ADF, or similar. \r • Experience with Git, CI/CD, and Agile development methodologies. \r • Strong analytical, debugging, and performance tuning skills. \r • Excellent verbal and written communication skills. \r \r Roles Responsibilities \r • Design, develop, and maintain data pipelines using Databricks, Python, and PySpark. \r • Build scalable data ingestion, transformation, and integration solutions. \r • Collaborate with Data Architects, Analysts, and business teams to deliver data solutions. \r • Develop and optimize batch and real-time data processing workflows. \r • Ensure data quality, integrity, security, and governance standards are met. \r • Monitor, troubleshoot, and resolve production data pipeline issues. \r • Optimize Spark jobs, SQL queries, and Databricks workloads for performance. \r • Participate in data modeling, code reviews, and platform enhancement activities. \r • Create technical documentation and support production deployments. \r • Participate in Agile ceremonies and contribute to continuous improvement initiatives.","datePosted":"2026-11-05T11:06:17.427Z","dateModified":"2026-11-05T11:06:17.427Z","hiringOrganization":{"@type":"Organization","name":"Pb 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