Big Data Engineer

Big Data EngineerVisa 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: YesBig Data Engineer Chicago IL - Long TermBig 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 architectureAssemble large, complex data sets that meet functional / non-functional business requirementsIdentify, 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' technologiesBuild analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metricsWork with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needsCreate data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leaderRequired Qualifications:5+ years of experience (Sr-level)Strong Programming experience with object-oriented/object function scripting languages: Scala5+ years of experience (Mid-level)Experience with big data tools: Hadoop, Apache Spark etc1+ years of strong technical Experience with AWS cloud services and DevOps engineering: S3, IAM, EC2, EMR, RDS, Redshift, Cloudwatch with Docker, Kubernetes, GitHub, Jenkins, CICDExperience with stream-processing systems: Python, Spark-Streaming1+ Years of experience with relational SQL or, Snowflake and NoSQL databases, like Postgres and Cassandra.