MHK TECH INC
Overview
Join to apply for the
Senior Data Engineer
role at
MHK TECH INC Qualifications
10+ years of experience in data engineering with an emphasis on data analytics and reporting. 10+ years of experience in SQL, data transformations, ETL/ELT and experience on Database Platform Snowflake, Fabric and S3. 6+ years of experience with one or more cloud platforms: Amazon Web Services (AWS), Azure. 2+ years of experience in building data pipelines to support AI and ML models, strong understanding of LLMs, prompt engineering, vibe coding using the GitHub Copilot or similar AI tools, helping team to build faster using the enterprise approved AI tools. 4+ years of experience in data modeling to support descriptive analytics in Power BI. 4+ years of experience in data cataloging, empowering business and digital partners to utilize data cataloging and metadata for self-service. Strong understanding of data management principles and best practices; understanding of data modeling, including conceptual, logical, and physical data models. Responsibilities
Translate business requirements into technical specifications; establish and define details, definitions, and requirements of applications, components, and enhancements. Participate in project planning; identifying milestones, deliverables, and resource requirements; track activities and task execution. Generate design, development, test plans, detailed functional specifications documents, user interface design, and process flow charts for execution of programming. Develop data pipelines / APIs using Python, SQL, potentially Spark, and AWS, Azure, or GCP methods. Use an analytical, data-driven approach to drive a deep understanding of fast-changing business. Build large-scale batch and real-time data pipelines with data processing frameworks in AWS, Snowflake, and DBT. Move data from on-prem to cloud and perform cloud data conversions. Implement large-scale data ecosystems including data management, governance, and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms. Leverage automation, cognitive, and science-based techniques to manage data, predict scenarios, and prescribe actions. Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise, and providing As-a-Service offerings for continuous insights and improvements. Develop and maintain data pipelines / APIs; ensure data quality, security, and governance across platforms. Job Description
Translate business requirements into technical specifications; establish and define details, definitions, and requirements of applications, components, and enhancements. Participate in project planning; identifying milestones, deliverables, and resource requirements; track activities and task execution. Generate design, development, test plans, detailed functional specifications documents, user interface design, and process flow charts for execution of programming. Develop data pipelines / APIs using Python, SQL, AWS, Azure Fabric. Use an analytical, data-driven approach to drive a deep understanding of fast-changing business. Seniorities
Mid-Senior level Employment type
Full-time Job function
Other Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at MHK TECH INC by 2x Get notified about new Senior Data Engineer jobs in
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Join to apply for the
Senior Data Engineer
role at
MHK TECH INC Qualifications
10+ years of experience in data engineering with an emphasis on data analytics and reporting. 10+ years of experience in SQL, data transformations, ETL/ELT and experience on Database Platform Snowflake, Fabric and S3. 6+ years of experience with one or more cloud platforms: Amazon Web Services (AWS), Azure. 2+ years of experience in building data pipelines to support AI and ML models, strong understanding of LLMs, prompt engineering, vibe coding using the GitHub Copilot or similar AI tools, helping team to build faster using the enterprise approved AI tools. 4+ years of experience in data modeling to support descriptive analytics in Power BI. 4+ years of experience in data cataloging, empowering business and digital partners to utilize data cataloging and metadata for self-service. Strong understanding of data management principles and best practices; understanding of data modeling, including conceptual, logical, and physical data models. Responsibilities
Translate business requirements into technical specifications; establish and define details, definitions, and requirements of applications, components, and enhancements. Participate in project planning; identifying milestones, deliverables, and resource requirements; track activities and task execution. Generate design, development, test plans, detailed functional specifications documents, user interface design, and process flow charts for execution of programming. Develop data pipelines / APIs using Python, SQL, potentially Spark, and AWS, Azure, or GCP methods. Use an analytical, data-driven approach to drive a deep understanding of fast-changing business. Build large-scale batch and real-time data pipelines with data processing frameworks in AWS, Snowflake, and DBT. Move data from on-prem to cloud and perform cloud data conversions. Implement large-scale data ecosystems including data management, governance, and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms. Leverage automation, cognitive, and science-based techniques to manage data, predict scenarios, and prescribe actions. Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise, and providing As-a-Service offerings for continuous insights and improvements. Develop and maintain data pipelines / APIs; ensure data quality, security, and governance across platforms. Job Description
Translate business requirements into technical specifications; establish and define details, definitions, and requirements of applications, components, and enhancements. Participate in project planning; identifying milestones, deliverables, and resource requirements; track activities and task execution. Generate design, development, test plans, detailed functional specifications documents, user interface design, and process flow charts for execution of programming. Develop data pipelines / APIs using Python, SQL, AWS, Azure Fabric. Use an analytical, data-driven approach to drive a deep understanding of fast-changing business. Seniorities
Mid-Senior level Employment type
Full-time Job function
Other Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at MHK TECH INC by 2x Get notified about new Senior Data Engineer jobs in
Houston, TX . Houston, TX $39.18 - $58.28 15 minutes ago Houston, TX $102,400.00 - $204,100.00 1 hour ago Spring, TX $155,500.00 - $376,000.00 1 month ago Sr Software Developer (Exp w/ Supply Chain Optimization & Mathematical Modeling) Sr Software Developer (Focus: Petroleum Supply Chain/Optimization/Mathematical Modeling) Energy Trading Senior Sales Engineer / PreSales Consultant - $150-200k + Commission Houston, TX $150,000.00 - $200,000.00 21 hours ago Principal GCP Cloud Data & AI Architect (1099) Senior Data Analyst, Marketing Innovation (Bangkok-based, relocation provided) Houston, TX $131,000.00 - $186,000.00 1 week ago Managed Services - Test Data Management (TDM) Analyst - Senior Associate Houston, TX $77,000.00 - $202,000.00 1 week ago Houston, TX $106,900.00 - $176,500.00 3 weeks ago Houston, TX $60,000.00 - $80,000.00 1 day ago Houston, TX $100,000.00 - $140,000.00 1 week ago Pasadena, TX $120,000 - $140,000 3 weeks ago Houston, TX $175,000 - $210,000 2 weeks ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr