End-to-end management of the ongoing data load process, including monitoring of feeds and outreach when data is delayed
In all phases of the client life cycle, the Data Engineering Analyst is responsible for writing complex SQL queries to complete business requirements. He/she must have the ability to analyze and understand data to support decision making. He/she is also responsible for working on projects focused on continuous improvement to improve team’s effectiveness
Self-starter on Automations and Process improvements. Be able to make decisions and act on it effectively and quickly
Take complete ownership of Liaison activities, Automations and support Cloud Migration
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
Bachelor’s degree in Computer Science or any engineering
2+ years of experience in Data analysis and functional QC
Experience working with ETL & Data warehousing services
Proven solid analytical and problem-solving skills
Proven solid SQL and Azure, Scala, Spark skills
Proven Passion to work with lot of data in a challenging environment
Proven technical aptitude for learning new technologies