Application Engineer

This is a long term contract and hybrid to Riverwoods Il. W2 ONLY.

Preferred Skills:

Experience with programming languages like Java or Python services and build highly available environment using proper design patterns.

Proven experience in software development methodologies.

Strong analytical skills and ability to multi-task

Experience as part of an Agile engineering or development team

Strong experience working with a relational database and NoSQL database

Strong experience with CI/CD pipelines with Jenkins or similar; Git/GitHub; Artifactory

Experience with Test Driven Development (TDD)

Experience writing unit and service level tests to ensure adequate code coverage

Proven skills in high availability and scalability design, as well as performance monitoring

Experience developing and implementing API service architecture

Experience in working in a cloud environment such as AWS, GCP or Azure.

Experience provisioning infrastructure with Terraform and Cloud Formation.

Understanding of messaging systems like MQ, Rabbit MQ, Kafka, or Kinesis.

Ability to adapt communication for effectiveness with business partners and other technical teams.

ETL/ELT Tools (AbInitio, DataStage, Informatica)

Cloud Tools and Databases (AWS, Snowflake)

Other programming languages (Unix scripting, Python, etc.)

Leverage CI/CD framework for data integration, Open Source

Experience working in cloud platforms (AWS, GCP, Azure)

Basic understanding of key infrastructure concepts (data centers as well as cloud hosting platform) to support business data needs

Experience optimizing SQL both relational and nosql

Must Have:

4+ years of work experience in Data Platform Administration/Engineering, or related

Hands on experience with Amazon Web Services (AWS) based solutions such as Lambda, Dynamo dB, Snowflake and S3.

Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio/Python/Spark/Snowflake/No SQL)

Experience in migrating ETL processes (not just data) from relational warehouse Databases to AWS based solutions.

Experience in building & utilizing tools and frameworks within the Big Data ecosystem including Kafka, Spark, and NoSQL.

Deep knowledge and very strong in SQL and Relational Databases

Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio)

Willingness to continuously learn & share learnings with others

Ability to work in a fast-paced, rapidly changing environment

Very strong verbal & written communication skills

Experience within the Financial industry

Experience with programming languages like Java or Python services and build highly available environment using proper design patterns.

Proven experience in software development methodologies.

Strong analytical skills and ability to multi-task

Experience as part of an Agile engineering or development team

Strong experience working with a relational database and NoSQL database

Strong experience with CI/CD pipelines with Jenkins or similar; Git/GitHub; Artifactory

Experience with Test Driven Development (TDD)

Experience writing unit and service level tests to ensure adequate code coverage

Proven skills in high availability and scalability design, as well as performance monitoring

Experience developing and implementing API service architecture

Experience in working in a cloud environment such as AWS, GCP or Azure.

Experience provisioning infrastructure with Terraform and Cloud Formation.

Understanding of messaging systems like MQ, Rabbit MQ, Kafka, or Kinesis.

Ability to adapt communication for effectiveness with business partners and other technical teams.