A-Line Staffing Solutions
Data Engineer
A-Line Staffing Solutions, Troy, Michigan, United States, 48083
Position: Data Engineer
Direct Hire Opportunity
This is NOT a C2C Position
Must be located outside of: TX, TN, or GA
Required Experience (must Have)
Minimum 5+ years’ data engineering experience working with designing data models in both column store and relational databases, incorporating disparate data to solve complex business needs. Minimum Bachelor’s degree or Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field. Experience building and optimizing data pipelines, architectures, database modeling and data sets that meet business requirements. Experience in building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources in ‘big data’ technologies or similar. Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. Experience in building processes supporting data transformation, analytics tools, data structures, metadata, dependency, and workload management. Assist Data Science team that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and optimizing our product into an innovative industry leader. Experience in using Azure DevOps, or Jira project management/requirements management. Experience with big data tools: Hadoop, Spark, Kafka, or a related technology. Proficient in programming languages such as SQL, Python, R, Shell Scripting Experience with NoSQL databases, including Postgres and Cassandra is a plus - (Nice to have) Strong working experience with technologies like AWS/Databricks and (minimum 3+ years’ experience) working with big data, including expertise designing data models in both column store and relational databases, incorporating disparate data to solve complex business needs - (Nice to have)
AWS lambda functions (Python preferred) AWS databases (Aurora, DynamoDB, or Redshift preferred) AWS storage services (EC2, S3 preferred) Data Lake experience or similar (AWS preferred)
Primary Responsibilities
Developing and implementing an overall organizational data strategy that is in line with business processes. The strategy includes data model designs, database development, implementation and management of data warehouses and data analytics systems. Identifying data sources, both internal and external and work out a plan for data management that is aligned with organizational data strategy. Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data system. Managing end-to-end data architecture, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution. Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
If you think this position is a good fit, please reach out to me - feel free to call, text, e-mail, or apply to this posting! Brett Middleton bmiddleton@alinestaffing.com
Minimum 5+ years’ data engineering experience working with designing data models in both column store and relational databases, incorporating disparate data to solve complex business needs. Minimum Bachelor’s degree or Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field. Experience building and optimizing data pipelines, architectures, database modeling and data sets that meet business requirements. Experience in building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources in ‘big data’ technologies or similar. Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. Experience in building processes supporting data transformation, analytics tools, data structures, metadata, dependency, and workload management. Assist Data Science team that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and optimizing our product into an innovative industry leader. Experience in using Azure DevOps, or Jira project management/requirements management. Experience with big data tools: Hadoop, Spark, Kafka, or a related technology. Proficient in programming languages such as SQL, Python, R, Shell Scripting Experience with NoSQL databases, including Postgres and Cassandra is a plus - (Nice to have) Strong working experience with technologies like AWS/Databricks and (minimum 3+ years’ experience) working with big data, including expertise designing data models in both column store and relational databases, incorporating disparate data to solve complex business needs - (Nice to have)
AWS lambda functions (Python preferred) AWS databases (Aurora, DynamoDB, or Redshift preferred) AWS storage services (EC2, S3 preferred) Data Lake experience or similar (AWS preferred)
Primary Responsibilities
Developing and implementing an overall organizational data strategy that is in line with business processes. The strategy includes data model designs, database development, implementation and management of data warehouses and data analytics systems. Identifying data sources, both internal and external and work out a plan for data management that is aligned with organizational data strategy. Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data system. Managing end-to-end data architecture, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution. Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
If you think this position is a good fit, please reach out to me - feel free to call, text, e-mail, or apply to this posting! Brett Middleton bmiddleton@alinestaffing.com