Who are we?
For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check
What will you do?
Leverage modern data management toolsets and coding methods to design, build, implement, and optimize data solutions of all types – including support for OLTP and API/Microservices, data warehouses, data lakes, ODS, streaming data, analytic and BI/visualizations, etc.
Transform legacy data structures and processes to modern, capable, and secure solutions in a hybrid cloud setup
Apply Data Engineering & Design best practices to architect solutions, using a deep understanding of various data formats and database design approaches
Design and Implement Data Services (DaaS) for consumption and various manipulations throughout the Data Ecosystem applying the “contract first” design principle and including use of API, Microservices, Microbatch, ELT Pipeline and other methods.
Build best-practice driven data ingestion, develop tooling for increasing scale, accuracy and automation in data pipeline, to integrate with decisioning, AI/NLP and consuming systems
Ensure data security by designing controls and protection strategies
Enable application performance and modernization by creating appropriate data capabilities to match
What are we looking for?
3+ years of experience in data engineering, development and operations roles, including experience with transformational efforts
Strong Database skills, with RDBMS (E.g., Oracle, SQL) as well as modern relational and unstructured data sources (like NoSQL), including cloud services (AWS/GCP/Azure). Hands on experience using tools is strongly preferred
Experience with Tools (or similar) such as Hadoop Stack, Airflow, Kafka, NiFi, PostgreSQL, Oracle, SQL Server, ElasticSearch (ELK), JSON, Parquet, Avro and other Data Storage formats, Tableau, Superset and other Visualization Tools, Apache Atlas, and other Data-centric Apache Packages
Knowledge of Design Patterns for Software and Data Engineering.
Experience in on-prem and hybrid cloud infrastructure, including service and cost optimization
Experience with production and analytics data, batch and real time / streaming, etc.