Position: Middle Data Analyst
Company: GlobalLogic
Experience required: 3y
Category: Other
English level: intermediate
Published: 2021-11-01T00:00:00+02:00

**Job Description**
3-6 years of experience as a DWH engineer
3-6+ years experience with Data Solution Technologies (eg: Informatica, Linux Scripting)
3-6+ years experience with RDBMS Systems (e.g: Netezza, Yellowbrick, Oracle, SQL Server, DB2; preferably yellow-brick)
3-6+ years experience with Linux/Unix Systems, scripting.
Experience in work automation.
Working knowledge of Agile software engineering processes.
Building & automating data aggregation pipelines for Analytics reporting is nice to have
Able to use open source tools for version control (ex. git/bitbucket)
Experience with job scheduling systems (Ex. Autosys)
Test and deploy data solutions (mid to high complexity).
Able to mentor fellow co-workers to expand overall team skills.
Positive attitude towards challenges.
Advanced communication skills to present solutions clearly to the team and users.

**Must have skillset: **SQL, PL/SQL, ETL jobs creation/deployment, DWH, CI/CD experience, 

**Job Responsibilities**
Architecture, development, orchestration, and managing data processing pipelines, ETL processes for large scale data systems
Involving in design support and solutions development for the dashboards/reports deployment to various stakeholders
Work directly with the business teams for rapid prototyping of analytics solutions based on business requirements
Enterprise data warehouse processes maintenance
Tuning and performance improvements of reporting solutions
Manage cloud-based data & analytics platform
Deploy updates and fixes, technical support
Department/Project Description
We are seeking a Data Engineer to help us build our new Data platform by developing cutting-edge, data-driven solutions for retailer and CPG customers. This is a great opportunity for a passionate data engineer with experience in digital marketing technology and a desire to launch innovative ad tech solutions. The data engineer will be participating in developing/unit testing/documenting and deploying data-driven solutions. The successful candidate possesses strategic thinking skills, a passion for product development, and a proven background in developing new products and scaling existing ones. This position requires an engaging, innovative and collaborative approach. The candidate must demonstrate the ability to effectively work with other leaders across multiple functional areas.