Strategic Data Systems
Lead Data Engineer
Strategic Data Systems, Cincinnati, Ohio, United States, 45208
Senior Data Engineer
For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients’ critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.
What You’ll DoResponsible to design, build, refactor, and maintain data pipelines using Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, and PySpark to meet business requirements for reporting, analysis, and data scienceResponsible to teach, adhere to, and contribute to DataOps and MLOps standards and best practices to accelerate and continuously improve data system performanceResponsible to design, and integrate fault tolerance and enhancements into data pipelines to improve quality and performanceResponsible to lead and perform root cause analysis and solve problems using analytical and technical skills to optimize data delivery and reduce costsEngages business end users and shares responsibility leading a delivery teamResponsible to mentor Data Engineers at all levels of experience
What You’ll NeedAdvanced experience with Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, PySpark, Power BI or other cloud-based data systemsAdvanced experience with Azure DevOps, GitHub, CI/CDAdvanced experience with database storage systems such as cloud, relational, mainframe, data lake, and data warehouseAdvanced experience building cloud ETL pipelines using code or ETL platforms utilizing database connections, APIs, or file-basedAdvanced experience with data warehousing concepts and agile methodologyAdvanced experience designing and coding data manipulations applying processing techniques to extract value from large, disconnected datasetsExperienced presenting conceptual and technical improvements to influence decisionsContinuous learning to upskill data engineering techniques and business acumenBachelor’s or Master’s degree in computer science, software engineering, information technology or equivalent combination of data engineering professional experience and education7+ years proven Data Engineering experience in a complex agile environment
Rewards and BenefitsCompetitive base salaryMedical, dental, and vision insurance coverageOptional life and disability insurance provided401(k) with a company match and optional profit sharingPaid vacation timePaid Bench timeTraining allowance offeringYou’ll be eligible to earn referral bonuses!
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For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients’ critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.
What You’ll DoResponsible to design, build, refactor, and maintain data pipelines using Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, and PySpark to meet business requirements for reporting, analysis, and data scienceResponsible to teach, adhere to, and contribute to DataOps and MLOps standards and best practices to accelerate and continuously improve data system performanceResponsible to design, and integrate fault tolerance and enhancements into data pipelines to improve quality and performanceResponsible to lead and perform root cause analysis and solve problems using analytical and technical skills to optimize data delivery and reduce costsEngages business end users and shares responsibility leading a delivery teamResponsible to mentor Data Engineers at all levels of experience
What You’ll NeedAdvanced experience with Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, PySpark, Power BI or other cloud-based data systemsAdvanced experience with Azure DevOps, GitHub, CI/CDAdvanced experience with database storage systems such as cloud, relational, mainframe, data lake, and data warehouseAdvanced experience building cloud ETL pipelines using code or ETL platforms utilizing database connections, APIs, or file-basedAdvanced experience with data warehousing concepts and agile methodologyAdvanced experience designing and coding data manipulations applying processing techniques to extract value from large, disconnected datasetsExperienced presenting conceptual and technical improvements to influence decisionsContinuous learning to upskill data engineering techniques and business acumenBachelor’s or Master’s degree in computer science, software engineering, information technology or equivalent combination of data engineering professional experience and education7+ years proven Data Engineering experience in a complex agile environment
Rewards and BenefitsCompetitive base salaryMedical, dental, and vision insurance coverageOptional life and disability insurance provided401(k) with a company match and optional profit sharingPaid vacation timePaid Bench timeTraining allowance offeringYou’ll be eligible to earn referral bonuses!
#J-18808-Ljbffr