AI Big Data Engineer

  • Troy, MI
  • Posted 14 days ago | Updated 14 days ago

Overview

Hybrid
Depends on Experience
Contract - W2

Skills

Amazon Web Services
Apache Hadoop
Apache Kafka
Apache Spark
Big data
Business intelligence
Cloud computing
Computer science
Continuous delivery
Continuous integration
DDL
Data
Data Analysis
Data engineering
Data governance
Data marts
Data modeling
Data quality
Data security
Database administration
Databricks
Design
Docker
Documentation
ELT
FOCUS
Google Cloud Platform
Kubernetes
Microsoft Azure
Microsoft SQL Server
Python
SQL
Software development
Tableau
Vector Databases
Visualization
Stored procedures
Snow flake schema

Job Details

Job Title: AI Big Data Engineer - Contract - Job #5242

Location
: Hybrid near Troy, MI
Job Description: You will focus on creating a Unified Data Platform. You will design, develop, and maintain data pipelines, data lakes, and data platforms that support the analytics and business intelligence needs of our clients. You will work with cutting-edge technologies and tools, such as Spark, Kafka, AWS, Azure, and Kubernetes, to handle large-scale and complex data challenges.
You will also collaborate with full stack developers, data scientists, analysts, and stakeholders to ensure data quality, reliability, and usability. You must be comfortable working with huge datasets.
Responsibilities:

  • Build automated pipelines to extract and process data from a variety of legacy platforms (predominantly SQL Server), e.g., in stored procedures, Glue processing, etc.
  • Implement data-related business logic on modern data platforms, such as AWS Glue, Databricks, and Azure using best practices and industry standards.
  • Create vector databases, data marts and the data models to support them
  • Optimize and monitor the performance, reliability, and security of data systems and processes.
  • Integrate and transform data from (or to) various sources and formats, such as structured, unstructured, streaming, and batch
  • Develop and maintain data quality checks, tests, and documentation.
  • Support data analysis, reporting, and visualization using tools such as SQL, Python, Tableau and Quicksight
  • Research and evaluate new data technologies and trends to improve data solutions and existing capabilities.

Qualifications:

  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field
  • At least 5 years of experience in data engineering or a similar role (previous DBA experience is a plus)
  • Experience with big data frameworks and tools, such as Spark, Hadoop, Kafka and Hive
  • Expert in SQL, including a knowledge of efficient query and schema design, DDL, data modeling and use of stored procedures
  • Proficient in at least one programming language, such as Python, Go or Java
  • Experience with CI/CD, containerization (ex: docker, K8s) and orchestration (ex: Airflow)
  • Experience building production systems with more modern ETL, ELT and data systems, such as AWS Glue, Databricks, Snowflake, Elastic, and Azure Cognitive Search
  • Experience deploying data infrastructure on cloud platforms (AWS, Azure, or Google Cloud Platform)
  • Strong knowledge of data quality, data governance, and data security principles and practices
  • Excellent communication, collaboration, and problem-solving

Additional Information:

  • Must be able to work on w2.
  • Drug/Background Screen Required.

About Delphi-US
Delphi-US is a national recruiting firm based in Newport, Rhode Island. We specialize in IT, Engineering and Professional Staffing services for organizations from Main Street to Wall Street. Our mission is simple: To connect great people to great companies. We accomplish this with a proprietary skill-based and cultural matching process that results in higher qualified submissions along with increased interviews and offer rates. You ll find our team is friendly, professional and ready to advocate on your behalf, armed with industry trends, and an understanding of employer needs.

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About Delphi-US