Artmac
Lead Data Quality & Automation Engineer
Artmac, San Francisco, California, United States, 94199
Who We Are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to customers. Job Description
Job Title: Lead Data Quality & Automation Engineer Job Type: W2/C2C Experience: 8-14 years Location: San Francisco, California Responsibilities
5 years of professional experience in software development, with at least 2 years in a lead or senior engineering role. Strong proficiency in Python programming and experience building data processing applications. Hands-on expertise with Apache Spark and Hadoop for big data processing. Solid experience with workflow orchestration tools like Apache Airflow. Experience designing and managing data ingestion and integration pipelines with Apache NiFi. Understanding on Data Quality automation, CI/CD, Jenkins, Oracle, Power BI, Splunk Deep understanding of data quality concepts, data validation techniques, and distributed data systems. Experience with cloud platforms (AWS, GCP, or Azure) is a plus. Lead the design and implementation of data quality frameworks and automated validation pipelines using Python, Apache Spark, and Hadoop ecosystem tools. Develop, deploy, and maintain scalable ETL/ELT workflows using Apache Airflow and Apache NiFi to ensure seamless data ingestion, transformation, and quality checks. Collaborate with cross-functional teams to understand data quality requirements and translate them into technical solutions. Define and enforce data quality standards, rules, and monitoring processes. Perform root cause analysis on data quality issues and implement effective fixes and enhancements. Mentor and guide junior engineers, conducting code reviews and fostering best practices. Continuously evaluate and integrate new tools and technologies to enhance data quality capabilities. Ensure high code quality, performance, and reliability in all data processing pipelines. Create comprehensive documentation and reports on data quality metrics and system architecture. Qualifications
Bachelor’s degree or equivalent combination of education and experience.
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Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to customers. Job Description
Job Title: Lead Data Quality & Automation Engineer Job Type: W2/C2C Experience: 8-14 years Location: San Francisco, California Responsibilities
5 years of professional experience in software development, with at least 2 years in a lead or senior engineering role. Strong proficiency in Python programming and experience building data processing applications. Hands-on expertise with Apache Spark and Hadoop for big data processing. Solid experience with workflow orchestration tools like Apache Airflow. Experience designing and managing data ingestion and integration pipelines with Apache NiFi. Understanding on Data Quality automation, CI/CD, Jenkins, Oracle, Power BI, Splunk Deep understanding of data quality concepts, data validation techniques, and distributed data systems. Experience with cloud platforms (AWS, GCP, or Azure) is a plus. Lead the design and implementation of data quality frameworks and automated validation pipelines using Python, Apache Spark, and Hadoop ecosystem tools. Develop, deploy, and maintain scalable ETL/ELT workflows using Apache Airflow and Apache NiFi to ensure seamless data ingestion, transformation, and quality checks. Collaborate with cross-functional teams to understand data quality requirements and translate them into technical solutions. Define and enforce data quality standards, rules, and monitoring processes. Perform root cause analysis on data quality issues and implement effective fixes and enhancements. Mentor and guide junior engineers, conducting code reviews and fostering best practices. Continuously evaluate and integrate new tools and technologies to enhance data quality capabilities. Ensure high code quality, performance, and reliability in all data processing pipelines. Create comprehensive documentation and reports on data quality metrics and system architecture. Qualifications
Bachelor’s degree or equivalent combination of education and experience.
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