Azure Data Engineer(ADF,Databricks & SQL) Immediate Joinees ONLY

Role & responsibilities

Job Description

Job Function Overview

The Data Engineer role in the Performance Comms team is responsible for expanding and

optimizing data and data pipeline architecture as well as optimizing data flow and collection for cross

functional utilization. The ideal candidate is an experienced data pipeline builder who enjoys

optimizing data systems and building them from the ground up. They must be self-directed, driven

and comfortable supporting the data needs of multiple teams, systems and products.

What You will do

• Create and maintain optimal data pipeline architecture
• Identify, design and implement internal process improvements, automating manual

processes, optimizing data delivery, re-designing infrastructure for scalability

• Design, develop and deploy high volume ETL pipelines to manage complex and near-real

time data collection

• Work with the data management team and project leads to assist with data related technical

issues and support infrastructure needs

Preferred Knowledge/ Skills:

• Azure data engineer skills databricks, data factory, data lake, Azure sql db, synapse. Preferable: Informatica, Oracle and Azure DevOps.
• A successful history of manipulating, processing and extracting value from large

disconnected data sets

• Familiarity with enterprise productivity tools including Microsoft Office Suite and Google

platforms and other project management software

• Strong business and technical acumen
• Strong problem solving, communication and follow-up skills
• Ability to navigate complexity and ambiguity, practicing resourcefulness to see things

through

• Identifying and keeping up with industry leading best practices in relevant technical domains

About the team

CommTech & Performance Comms: Wrangle and analyze data to produce intelligence and insights,

guiding strategic decision-making and measuring our impact.

Years of experience required 4-9 years

Must have Azure Synapse, Databricks and SQL exp.

Shift:2pm-11pm