Agility Partners LLC
Advanced Data Engineer (Azure) Company Hidden Retail Cincinnati, OH Developer 1
Agility Partners LLC, Cincinnati, Ohio, United States, 45208
Agility Partners is seeking a qualified Advanced Data Engineer to fill an open position with a leading grocer in the Cincinnati area.
Key Responsibilities:
SQL, Python, Spark, Databricks Working with varied data file formats (Avro, json, csv) using PySpark for ingesting and transformation DevOps process and Terraform scripting Leadership skills: must be able to put together and deliver presentations. Solid communication while working with PMO. Must be able to translate what the product is asking for and communicate effectively with the team. Benefits and Perks
Work within a collaborative team environment where ideas and creativity are welcomed! Family and work-life balance are important to this organization and valued for the employees. Working for an organization that focuses on company culture, inclusion, and diversity 50% medical coverage for you and your entire family, short/long term disability, and life insurance options 401(k) Life Insurance Disability coverage The Ideal Candidate
Qualifications: Experience in Data modeling and advanced SQL techniques Experience working on cloud migration methodologies and processes including tools like Databricks, Azure Data Factory, Azure Functions, and other Azure data services Expert in SQL, Python, Spark, Databricks Experience working with varied data file formats (Avro, json, csv) using PySpark for ingesting and transformation Experience with DevOps process and understanding of Terraform scripting Understanding the benefits of data warehousing, data architecture, data quality processes, data warehousing design and implementation, table structure, fact and dimension tables, logical and physical database design Experience designing and implementing ingestion processes for unstructured and structured data sets Experience designing and developing data cleansing routines utilizing standard data operations Knowledge of data, master data, and metadata related standards and processes Experience working with multi-Terabyte data sets, troubleshooting issues, performance tuning of Spark and SQL queries Experience using Azure DevOps/Github actions CI/CD pipelines to deploy code Microsoft Azure certifications are a plus Minimum of 7 years of hands-on experience working on design, configuration, implementation, and data migration for medium to large sized enterprise data platforms.
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SQL, Python, Spark, Databricks Working with varied data file formats (Avro, json, csv) using PySpark for ingesting and transformation DevOps process and Terraform scripting Leadership skills: must be able to put together and deliver presentations. Solid communication while working with PMO. Must be able to translate what the product is asking for and communicate effectively with the team. Benefits and Perks
Work within a collaborative team environment where ideas and creativity are welcomed! Family and work-life balance are important to this organization and valued for the employees. Working for an organization that focuses on company culture, inclusion, and diversity 50% medical coverage for you and your entire family, short/long term disability, and life insurance options 401(k) Life Insurance Disability coverage The Ideal Candidate
Qualifications: Experience in Data modeling and advanced SQL techniques Experience working on cloud migration methodologies and processes including tools like Databricks, Azure Data Factory, Azure Functions, and other Azure data services Expert in SQL, Python, Spark, Databricks Experience working with varied data file formats (Avro, json, csv) using PySpark for ingesting and transformation Experience with DevOps process and understanding of Terraform scripting Understanding the benefits of data warehousing, data architecture, data quality processes, data warehousing design and implementation, table structure, fact and dimension tables, logical and physical database design Experience designing and implementing ingestion processes for unstructured and structured data sets Experience designing and developing data cleansing routines utilizing standard data operations Knowledge of data, master data, and metadata related standards and processes Experience working with multi-Terabyte data sets, troubleshooting issues, performance tuning of Spark and SQL queries Experience using Azure DevOps/Github actions CI/CD pipelines to deploy code Microsoft Azure certifications are a plus Minimum of 7 years of hands-on experience working on design, configuration, implementation, and data migration for medium to large sized enterprise data platforms.
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