{"schemaVersion":"jobsearcher.job.v1","id":"2f24cd9e872982f984f9f03c","url":"https://jobsearcher.com/jobs/2f24cd9e872982f984f9f03c","canonicalUrl":"https://jobsearcher.com/jobs/2f24cd9e872982f984f9f03c","title":"Senior Data Engineer","description":"Satsyil Corp is currently seeking a highly skilled and motivated Senior Data Engineer to join our team. You will play a crucial role in developing and optimizing Spark applications in AWS Databricks, leveraging your expertise in Python, SQL, and pySpark. The ideal candidate will have a solid background in data engineering and demonstrate proficiency in designing and building efficient ETL pipelines using Apache Spark in the Databricks environment.Roles and Responsibilities:Develop Spark applications in AWS Databricks, utilizing Python, PySpark, and SQL to meet project requirements and data processing needs.Design and implement robust ETL pipelines using Apache Spark in Databricks, ensuring data integrity, efficiency, and scalability.Collaborate with cross-functional teams to understand business requirements and design solutions that leverage structured, semi-structured, and unstructured data effectively.Write high-quality code in a timely manner, adhering to coding standards, best practices, and established development processes.Utilize version control systems like Git to manage codebase and ensure seamless collaboration within the team.Merge and consolidate various data sets using PySpark code, enabling streamlined data processing and analysis.Work with APIs to facilitate data ingestion from diverse sources and integrate data into the ecosystem.Apply expertise in Databricks delta lake to optimize data storage, query performance, and overall data processing efficiency.Demonstrate knowledge of application development life cycles and promote continuous integration/deployment practices for efficient project delivery.Perform query tuning, performance tuning, troubleshooting, and debugging for Spark and other big data solutions to enhance system efficiency and reliability.Certifications:AWS Certified Solutions Architect AssociateDatabricks Certified Data Engineer AssociateDatabricks Certified Data Engineer ProfessionalDatabricks Certified Machine Learning Associate","company":"Self-Employed","rawCompany":"selfemployed","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-23T08:15:59.497Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"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","description":"Satsyil Corp is currently seeking a highly skilled and motivated Senior Data Engineer to join our team. You will play a crucial role in developing and optimizing Spark applications in AWS Databricks, leveraging your expertise in Python, SQL, and pySpark. The ideal candidate will have a solid background in data engineering and demonstrate proficiency in designing and building efficient ETL pipelines using Apache Spark in the Databricks environment.Roles and Responsibilities:Develop Spark applications in AWS Databricks, utilizing Python, PySpark, and SQL to meet project requirements and data processing needs.Design and implement robust ETL pipelines using Apache Spark in Databricks, ensuring data integrity, efficiency, and scalability.Collaborate with cross-functional teams to understand business requirements and design solutions that leverage structured, semi-structured, and unstructured data effectively.Write high-quality code in a timely manner, adhering to coding standards, best practices, and established development processes.Utilize version control systems like Git to manage codebase and ensure seamless collaboration within the team.Merge and consolidate various data sets using PySpark code, enabling streamlined data processing and analysis.Work with APIs to facilitate data ingestion from diverse sources and integrate data into the ecosystem.Apply expertise in Databricks delta lake to optimize data storage, query performance, and overall data processing efficiency.Demonstrate knowledge of application development life cycles and promote continuous integration/deployment practices for efficient project delivery.Perform query tuning, performance tuning, troubleshooting, and debugging for Spark and other big data solutions to enhance system efficiency and reliability.Certifications:AWS Certified Solutions Architect AssociateDatabricks Certified Data Engineer AssociateDatabricks Certified Data Engineer ProfessionalDatabricks Certified Machine Learning Associate","datePosted":"2026-08-23T08:15:59.497Z","dateModified":"2026-08-23T08:15:59.497Z","hiringOrganization":{"@type":"Organization","name":"Self-Employed","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2f24cd9e872982f984f9f03c"},"url":"https://jobsearcher.com/jobs/2f24cd9e872982f984f9f03c"}}