Junior Engineer

Position Description:

This role is for experienced Data Engineer that will be responsible for designing and building the foundational components required for our customer. This includes bringing disparate sources into our Data Factory and creating data products that will be used by the analytics and reporting teams.

Data engineers will work in small, cross-functional teams. They will collaborate directly and continuously with product managers, designers, and product owners to release early and often.

Work with data scientists and software engineers to support data acquisition activities, data solution ideation, and implementation

Work with technical and business leads to transfer global business requirements into sound

solutions and implementation

Share support responsibilities for implemented components

Degree Type: Computer Science or Equivalent

Responsibilities

Technical Skills Required

Minimum of 8+ years' experience working in Data Engineering, primarily on GCP skill sets.

Hands on experience developing Data engineering pipelines using Workflows

Experience in troubleshooting performance issues

Minimum of 3+ years of experience working in Data engineering, Big data platform and technologies including Hadoop, Hive, Sqoop, Spark, Kafka, Big Query, Terraform, Tekton, Astro, Astonomer, Data Flow, Data Proc, Data Fusion, etc.,

Design data pipelines and data robots, take a vision and bring it to life

Master data engineer; teaches others; works closely with IT architects

Experience programming in Java and Python is a plus

Experience using Alteryx and data visualization tools especially Qlikview is a plus

Experience working in Agile/XP

Strong analytical and problem-solving skills

Strong oral and written communication skills

Qualifications

Nice to Have

Strong Communications skills

Ability to illustrate and convey ideas and prototypes effectively with team and partners

Presence demonstrating confidence, ability to learn quickly, influence, and shape ideas

Experience working independently and with minimal supervision

Experience with a global team

Full time