StevenDouglas
Base pay range
$110,000.00/yr - $140,000.00/yr Responsibilities
Design, develop, and implement ETL pipelines using Matillion to extract, transform, and load data into Snowflake and Databricks platforms. Optimize data workflows for performance, scalability, and reliability in cloud-based environments. Collaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver solutions. Ensure data quality, integrity, and security across all ETL processes. Monitor and troubleshoot ETL jobs, resolving issues promptly to minimize downtime. Leverage Databricks for advanced data processing, transformation, and analytics tasks. Implement best practices for data modeling, schema design, and performance tuning in Snowflake. Document ETL processes, workflows, and technical specifications. Stay updated on industry trends and advancements in ETL tools and cloud data platforms. Qualifications
3+ years of experience in ETL development, with hands-on expertise in Matillion. Proficiency in Snowflake for data warehousing, including schema design and query optimization. Strong experience with Databricks for data processing, Spark-based transformations, and analytics. Solid understanding of SQL and experience with writing complex queries. Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) and their data services. Experience with data modeling, data integration, and data quality assurance. Knowledge of version control systems (e.g., Git) and CI/CD pipelines is a plus. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Staffing and Recruiting
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$110,000.00/yr - $140,000.00/yr Responsibilities
Design, develop, and implement ETL pipelines using Matillion to extract, transform, and load data into Snowflake and Databricks platforms. Optimize data workflows for performance, scalability, and reliability in cloud-based environments. Collaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver solutions. Ensure data quality, integrity, and security across all ETL processes. Monitor and troubleshoot ETL jobs, resolving issues promptly to minimize downtime. Leverage Databricks for advanced data processing, transformation, and analytics tasks. Implement best practices for data modeling, schema design, and performance tuning in Snowflake. Document ETL processes, workflows, and technical specifications. Stay updated on industry trends and advancements in ETL tools and cloud data platforms. Qualifications
3+ years of experience in ETL development, with hands-on expertise in Matillion. Proficiency in Snowflake for data warehousing, including schema design and query optimization. Strong experience with Databricks for data processing, Spark-based transformations, and analytics. Solid understanding of SQL and experience with writing complex queries. Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) and their data services. Experience with data modeling, data integration, and data quality assurance. Knowledge of version control systems (e.g., Git) and CI/CD pipelines is a plus. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Staffing and Recruiting
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