Senior Data Engineer - Chicago IL(Hybrid) - Contract - W2 - Professional Development Opportunities

Role : Senior Azure Data Engineer

Location : Chicago IL (look for Nearby candidates) - Hybrid (3 days office, 2 days WFH)

Hire Type: Long Term Contract W2

Must to have: Azure, Databricks, ETL, Python or Hadoop, INFORMATICA or Abinitio, Data Lake, SQL,

- AWS S3 and Databricks are top 2 skills needed - MUST HAVE If they don't know data bricks, they have to be able to pick it up quickly
- Python & Spark Hadoop/Abinitio/Informatica would be helpful Will be working with pipelines and archiving the data May be moving the data into a new Data Lake
Strong understanding of RDBMS, NoSQL, big data, SQL, and ETL tools.
Experience programming with at least one modern language such as Java, Python, Unix Shell.

Below are skills for the two data engineer positions:

Required qualifications, capabilities, and skills:
BS degree in Computer Science or certification on software engineering.
Proficient in data analysis, data engineering, data modelling, and database management.
Strong understanding of RDBMS, NoSQL, big data, SQL, and ETL tools.
Experience programming with at least one modern language such as Java, Python, Unix Shell.
Proficiency in REST APIs, microservices, distributed systems and cloud (hybrid) computing .
Strong understanding of Agile methodologies with ability to work in at least one of the common frameworks.
Strong understanding of techniques such as CI/CD, TDD, cloud development, resiliency, and security.
Proven experience with business analysis, design, development, testing, deployment, maintenance, and improvement.

Preferred qualifications, capabilities, and skills:
Experience working with data intensive software (such as big data, data warehouses, data lakes).
AWS experience with developing on AWS, S3, Lambda, MSK, EC2, IAM, and related data products.
Experience with Databricks, Amazon RDS, Oracle, Hadoop/Cloudera, HUE, Hive, Impala.
Experience with GraphQL.