Senior Data Engineer

Gorilla Logic provides custom application development services on the ground and in the cloud to many of the world's leading software-driven organizations. It has a rich history of applying software engineering best practices to reduce the time and cost of delivering high-quality, full-featured applications with advanced functionality. Its technical leadership in mobile, rich Internet and enterprise applications showcases its broad commitment to software development best practices and quality.

Gorilla Logic is working with our client, who is an industry leader in data driven marketing, to help build their team we are looking for highly intelligent and capable data engineer, working on back end development for their big data platform. Tthis is a unique and highly technical role, requiring extensive ETL and big data experience. Our environment will require you to work effectively with your teammates, of course. But your real success will be measured by how well you couple critical thinking with self-motivation, enthusiasm and determination.

* Work as a member of an Agile Software Development Team to help implement new functionality based on business requirements. * Implement real-time streaming data pipelines on large volumes of data using SSIS, Qubole, Hive and Spark. * Develop extraction and other programs in Pearl and Python. * Solve big data challenges. We work at multi-petabyte scale as we ingest data from hundreds of companies. * Work with our analytics teams to develop predictive modeling and data mining algorithms on petabytes of data using distributed computing. * All development and production processing is done in the cloud. If you are not a cloud computing expert already, you will become one. We use Amazon AWS and the Oracle Cloud. * Develop in a variety of database technologies; Hadoop, Cassandra, Redshift, Hive, Oracle, MS SQL Server, MySQL

* Bachelor’s degree in Computer Science or related field (or equivalent experience) * 5+ years of backend development experience * Experience with ETL using tools like Microsoft SSIS or Oracle Exadata is required * Programming experience with Pearl and/or Python is required * Must have strong SQL skills including development of stored procedures, view, tuning, etc. * Experience with either Microsoft SQL Server or Oracle is required * Familiarity with Linux is required * Experience with Qubole is a big plus * Other experience we look for includes: Hive, Spark, Presto and other big data technologies is a plus * Familiarity with AWS (Amazon Web Services) is preferred * Must have the ability to work in a dynamic, fast-paced environment * Strong communication skills to interact with Agile team members