Role: Data Engineer
Location: Chicago, IL
NOTE : PLEASE SHARE ONLY 10+YEARS
Senior candidates only with 10+ years’ experience. Initially remote but they should be open to relocate post COVID-19 situation.
- Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘Big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- 5+ years of experience (Sr-level) Strong Programming experience with object-oriented/object function scripting languages: Scala
- 5+ years of experience (Mid-level) Experience with big data tools: Hadoop, Apache Spark etc
- 1+ years of strong technical Experience with AWS cloud services and DevOps engineering: S3, IAM, EC2, EMR, RDS, Redshift, Cloud watch with Docker, Kubernetes, GitHub, Jenkins, CICD
- Experience with stream-processing systems: Python, Spark-Streaming, etc. (Nice to have)
- 1+ Years of experience with relational SQL or, Snowflake and NoSQL databases, like Postgres and Cassandra