Hi,
Greetings from DIA SOFTWARE SOLUTIONS LLC!
We reaching out about an exciting Direct client opportunity with one of our clients. Please review the requirements and let me know if you are interested in this position?
Direct client Req:: Need Data Engineer Lead/Data Warehouse Architect,Hybrid, MI
Job Description:
Data Engineering Lead excels in data modeling, Lakehouse and Medallion Architecture concepts, and data/ML products delivery using an agile DevOps framework with a mastery of distributed data architectures essential for data, analytical and operational ML applications with demonstrated proficiency in frameworks including Spark, Kafka, Kubernetes, SageMaker, DBT, Juniper Notebooks, Docker, SQL, and visualization tools such as Power BI/Tableau with the following track record:
Required Skills:
· 1Minimum 4 years of hand-on experience is required in hydrating the enterprise Data Lake on a Cloud Service Provider (AWS, Azure, or Google) from relational, semi- structured and unstructured data sources by building Extract and Load Data Pipelines.
· Minimum of 4 years hands-on experience is required in Transforming the datasets in a Data Lake on a Cloud Service Provider to deliver Data Products with traceability of their attributes / features to the Critical Data Elements in the systems of record.
· Minimum of 2 years experience is required in enforcing Data Sharing Policies to Data Products to ensure that User get to see only the version of the Data Product the User is entitled to get access to at the time of subscription.
Preferred Skills:
· Proficiency desirable in DevOps tools including
· Github/Jenkins/Terraform/YAML/DAGs/Docker/Databricks/SageMaker etc. for building Data/ML pipelines to extract/store data from multiple sources to parquet destinations.
· Experience desirable in promoting Data Engineering Standards and Best Practices among the community of developers to influence the enterprise towards building scalable and supportable Data/ML Products delivery and their usage by the community of data, analytics, and ML product users.
· Experience desirable in implementing Data Governance and Data Security tools available on a CSP to automate the enforcement of Data Sharing Policies at the point of subscription of a Data Product by a subscriber.
Roles and Responsibilities:
· Data Engineering Lead excels in data modeling, Lakehouse, and ML products delivery using an agile DevOps framework with a mastery of distributed data architectures essential for data, analytical and operational ML applications with demonstrated proficiency in frameworks including DataBricks, Sagemaker, Spark, Kafka, Kubernetes, SQL, NoSQL DBs, Graph DBs, and visualization tools such as Power BI/Tableau.
· The Data Engineer Lead serves as the primary State of Michigan technology lead engaging with the UoM proof of concept team to support best practice adoption within the state hosting environment and provides training to DAV data engineers. This role’s responsibilities include:
· Oversee the design, development, and maintenance of data pipelines that move, transform, and prepare data for analytics and operational systems.
· Architect and optimize data infrastructure, including storage solutions, orchestration frameworks, and ETL/ELT processes.
· Ensure data quality, reliability, and security by establishing standards, monitoring systems, and implementing validation and governance practices.
· Lead and mentor data engineering staff, providing technical guidance, reviewing designs/code, and supporting professional growth.
· Collaborate with cross functional partners, such as data scientists, analysts, product teams, and business stakeholders, to ensure data solutions meet organizational needs and strategic goals.
Other Desired Skills:
· Must have a BS in Computer Science / Data Science / Information Systems with an overall 4+ years of experience in designing and implementing data, analytics, and AI solutions for large enterprises by building data pipelines using the available data
platform tools of any Cloud Service Provider (CSP) such as AWS/Microsoft/Google.
· Experience of minimum 4 years in modeling and leveraging Relational data services with demonstrated proficiency in Python/Pysparks/SQL programming and tuning SQL queries to extract data from multiple sources ( relational DB, flat files, CSV, HTML, JSON, etc) sources into Lakehouse Medallion architecture in parquet formats
· Demonstrated experience and expertise of minimum 4 years in programming/scripting languages including Python, R, Spark, etc.
· Experience in designing and delivering Star-schema based operational data
· store is required to enable visualization of program activities and outcomes in a visualization tool such as Power BI.
· Key Programming Languages: SQL, Python, R, Spark, Terraform Scripting, DAGs Scripting, YAML scripting, Docker
· Other Technologies, Concepts and Frameworks: Juniper Notebooks, NOSQL DB, Graph DB, Parquet DB, Lakehouse and Medallion Architecture concepts, Kafka,
· Kubernetes, Glue, Databricks, Power BI, Tableau, Redshift Spectrum, Sagemaker, DBT, Datahub, SageMaker, Machine Learning, GitHub, DevOps
DIA SOFTWARE SOLUTIONS LLC.
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DIA SOFTWARE SOLUTIONS is an Affirmative Action/Equal Opportunity Employer that supports workplace diversity. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All Dia soft staff must be able to demonstrate the legal right to work in the United States. DIA SOFTWARE SOLUTIONS is an E-Verify employer
