Data Engineer

Skills

· Requires a Bachelor's in Computer Science Computer Engineering or related field or equivalent experience. · Experience with Data Warehousing data technologies and ETL solutions. · Knowledge of any of the following: BMC Control-M Autosys Tivoli etc. · 4 - 6+ years of experience in ETL (IBM DataStage strongly preferred) SQL UNIX/Linux scripting Big Data distributed systems programming languages like Java and Python orchestration tools and processes or other directly related experience. · Extensive experience in data migration data analysis data transformations conversion interface large volume data loading (ETL techniques) database modeling and performance SQL tuning. · Experience in leveraging database tools to develop DDL scripts stored procedures and functions to create and alter database objects. · Experience working with Greenplum Oracle SQL Server DB2 Teradata and delimited text files would be helpful.

Description

Partner with architects, engineers, information analysts, business, and technology stakeholders for developing and deploying enterprise grade platforms that enable data-driven solutions.

· Enthusiasm and strong desire to learn and grow within the organization.

· Demonstrate strong analytical, organizational, and problem-solving skills.

· Strong focus on long-term strategy, application stability, refactoring, and re-usability.

· Analyzes and designs technical solutions to address business needs.

· Develops, tests, and modifies software to improve efficiency of data platforms and applications.

· Identifies, investigates, and proposes solutions to technical problems.

· Coordinate with data operations teams to deploy changes into production.

· Serve in the goalie rotation to support Test, QA, and Production environments.

· Other duties as assigned

Responsibilities

• · Experience with troubleshooting failures in a Production Support role.
• · Experience working with cloud or on-prem Big Data/MPP analytics platform like Google Big Query, Azure Data Warehouse, or similar
• · Experience with designing and implementing real-time pipelines
• · Experience with data pipeline automation and CI/CD tools like Jenkins
• · Hands on experiences with Git version control processes, data streaming technologies such as Kafka, and unstructured data handling preferred.