Big Data Engineer

Big Data Engineer

Visa status: U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. Tax Terms: W2, 1099 Corp-Corp or 3rd Parties: Yes

Big Data Engineer Chicago IL - Long Term

Big Data Spark, Scala, python - ALL are must. Senior candidates only with 10+ years experience. Initially remote but they should be open to relocate post COVID situation.

Roles/Responsibilities:

• 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

Required Qualifications:

• 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, Cloudwatch with Docker, Kubernetes, GitHub, Jenkins, CICD
• Experience with stream-processing systems: Python, Spark-Streaming
• 1+ Years of experience with relational SQL or, Snowflake and NoSQL databases, like Postgres and Cassandra.