{"schemaVersion":"jobsearcher.job.v1","id":"0db1a125696d15bb2d617a9d","url":"https://jobsearcher.com/jobs/0db1a125696d15bb2d617a9d","canonicalUrl":"https://jobsearcher.com/jobs/0db1a125696d15bb2d617a9d","title":"Senior Data Engineer-Databricks, Python","description":"Role: Senior Data Engineer-Databricks, Python Location: New Jersey(Hybrid) Duration: 6+ Months Job Description: Must have: Databricks, Spark, Python, ADF, SQL Responsibilities • Design, develop, and maintain data pipelines using Databricks and Spark, and other cloud technologies as needed • Optimize data pipelines for performance, scalability, and reliability • Ensure data quality and integrity throughout the data lifecycle • Collaborate with data scientists, analysts, and other stakeholders to understand and meet their data needs • Troubleshoot and resolve data-related issues, and provide root cause analysis and recommendations • Document data pipeline specifications, requirements, and enhancements, and communicate them effectively to the team and management • Create new data validation methods and data analysis tools, and share best practices and learnings with the data engineering community • Implement ETL processes and data warehouse solutions, and ensure compliance with data governance and security policies Requirements Qualifications • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience • 5+ years of experience in data engineering with Databricks and Spark • Proficient in SQL and Python andPyspark • Experience with Azure Databricks Medallion Architecture with DLT, Iceberg • Financial/Corporate Banking context would be a plus • Experience with data integration and ETL tools, such as Azure Data Factory • Experience with Azure cloud platform and services • Experience with data warehouse and data lake concepts and architectures • Good to have experience with big data technologies, such as Kafka, Hadoop, Hive, etc • Strong analytical and problem-solving skills • Excellent communication and teamwork skills","company":"Zortech Solutions","rawCompany":"zortech solutions","city":"Jersey City","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-06-26T03:30:23.402Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer-Databricks, Python","description":"Role: Senior Data Engineer-Databricks, Python Location: New Jersey(Hybrid) Duration: 6+ Months Job Description: Must have: Databricks, Spark, Python, ADF, SQL Responsibilities • Design, develop, and maintain data pipelines using Databricks and Spark, and other cloud technologies as needed • Optimize data pipelines for performance, scalability, and reliability • Ensure data quality and integrity throughout the data lifecycle • Collaborate with data scientists, analysts, and other stakeholders to understand and meet their data needs • Troubleshoot and resolve data-related issues, and provide root cause analysis and recommendations • Document data pipeline specifications, requirements, and enhancements, and communicate them effectively to the team and management • Create new data validation methods and data analysis tools, and share best practices and learnings with the data engineering community • Implement ETL processes and data warehouse solutions, and ensure compliance with data governance and security policies Requirements Qualifications • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience • 5+ years of experience in data engineering with Databricks and Spark • Proficient in SQL and Python andPyspark • Experience with Azure Databricks Medallion Architecture with DLT, Iceberg • Financial/Corporate Banking context would be a plus • Experience with data integration and ETL tools, such as Azure Data Factory • Experience with Azure cloud platform and services • Experience with data warehouse and data lake concepts and architectures • Good to have experience with big data technologies, such as Kafka, Hadoop, Hive, etc • Strong analytical and problem-solving skills • Excellent communication and teamwork skills","datePosted":"2026-06-26T03:30:23.402Z","dateModified":"2026-06-26T03:30:23.402Z","hiringOrganization":{"@type":"Organization","name":"Zortech 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