

Data Engineer
TEKsystems
Posted Thursday, April 17, 2025
Posting ID: JP-005215986
****5 days onsite in Downtown Chicago. Must be able to work without Sponsorship (W2/GC)****
Top Skills' Details
• Experience working with Hadoop/Big Data and Distributed
Systems
• Kafka/Spark - Experience in end-to-end design and build process of Near-Real
Time and Batch Data Pipelines
• Working experience with Spark, Sqoop, Kafka, MapReduce, NoSQL Database like
HBase, SOLR, CDP or HDP, Cloudera or Hortonworks, Elastic Search, Kibana, etc.
Description
The client is seeking 5 skilled Data Engineers responsible for developing and delivering data solutions to accomplish technology and business goals and initiatives. Key responsibilities include performing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems. Job expectations include working with stakeholders and Product and Software Engineering teams to aid with implementing data requirements, analyzing performance, and researching and troubleshooting data problems within system engineering domains.
Skills
Hadoop, Big data, Spark, kafka, Python, Sql, Scala, Data, elasticsearch, cloudera, Hive
Top Skills Details
Hadoop,Big data,Spark,kafka,Python,Sql,Scala,Data,elasticsearch,cloudera
Additional Skills & Qualifications
• Strong SQL Skills – one or more of MySQL, HIVE, Impala, SPARK SQL
• Data ingestion experience from message queue, file share, REST API, relational database, etc. and experience with data formats like json, csv, xml
• Experience working with SPARK Structured steaming
• Hands on programming experience in at least one of Scala, Python, PHP, or Shell Scripting, to name a few
• Performance tuning experience with spark /MapReduce or SQL jobs
• Experience and proficiency with Linux operating system is a must
• Experience in end-to-end design and build process of Near-Real Time and Batch Data Pipelines
• Experience working in Agile development process and deep understanding of various phases of the Software Development Life Cycle
• Experience using Source Code and Version Control systems like SVN, Git, Bit Bucket etc.
• Experience working with Jenkins and Jar management
• Self-starter who works with minimal supervision and the ability to work in a team of diverse skill sets
• Ability to comprehend customer requests and provide the correct solution
• Strong analytical mind to help take on complicated problems
• Desire to resolve issues and dive into potential issues
• Ability to adapt and continue to learn new technologies is important
Experience Level
Expert Level