Data Sw Engineer

Data Sw Engineer
Company:

Ledgent


Place:

California


Area:

Programmer

Data Sw Engineer

Details of the offer

Software Data Engineer
Location: Remote
Job Description
The Software Data Engineer is responsible for design, development of dashboards and reporting sourced from various production systems. The successful candidate must be able to play multiple roles including architect, report developer and metadata modeler.
Responsibilities
Key contributor in data modeling exercises to understand and analyze how an organization should collect, update, and store data
Define and build data pipelines from structured and semi-structured data sources, data cleansing, formatting and storing data into reporting tables (disparate systems)
Write complex SQL queries to build extracts a variety of front end visualization tools, primarily in LOOKER
Design, develop and deliver dashboards leveraging visualization best practices
Track project status within Jira, set expectations and communicate with business partners, and ensure final deliverable meets business partner's needs.
Plan and lead the QA and UAT
Structure the promote-to-production delivery and production support processes
Maintain knowledge repository for both project documentation, BI and other technical skills
Requirements
4+ years experience designing reporting data structures for analytics
4+ years experience with SQL databases and advanced SQL & PostgreSQL coding
Minimum 3 years' experience in business intelligence tools and packages like Looker or Tableau
Experience working with large data sets
Familiar with database design, schema design, data typing
Familiarity with Big Data paradigm including knowledge of data storage & query concepts for performance optimization
DBA & application administration knowledge/skills, desirable
Familiarity with AWS Redshift, Pipeline and S3, desirable
Demonstrate understanding of SDLC, especially source control, change management, and promotion to production practices
Strong data engineering experience with demonstrable skills building data pipelines from structured and semi-structured data sources, data cleansing, formatting and storing data into reporting tables
Able to prioritize in face of multiple requests while completing deliverables on time
Self-motivated with the ability to take direction and work independently
Must be comfortable with unstructured, fast-moving and constantly evolving high growth environment. Passion for excellence and continuous improvement
Ability to troubleshoot, track, and resolve day-to-day issues
Education
Bachelor's Degree in quantitative field
We are an equal opportunity employer and make hiring decisions based on merit. Recruitment, hiring, training, and job assignments are made without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, or any other protected classification. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.

Requirements

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