We have more than 10 years of experience working with ambitious and qualified professionals building world-class teams. Our team now exceeds +600 awesome professionals from all over the world!
We are looking for a Data Engineer to join our team! Our client works within Software industry and are based in Chicago, IL. They provide a complete, integrated software-as-a-service solution that facilitates care delivery and real-time field force management; automates data collection; and provides information for business and care optimization to agencies who no longer want to work with self-reported information and paper processes.
Intermediate/Advanced English skills.
Strong communication skills.
Self-starter, fast learner and flexible to support new technologies, as well as legacy applications.
Ability to thrive in a team environment.
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.
Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.
+5 years of experience in a Data Engineer role.
+3 years of experience with Python.
Experience with big data tools such as Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
Experience with AWS cloud services.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.