Data Engineer - Python

About Awign Expert:
Awign Expert, a division of Awign - Indias largest work-as-a-service platform. We connect skilled professionals with exciting project-based opportunities from top companies, handling onboarding, feedback, conflict resolution, and payroll. Our mission is to empower professionals to focus on their work by managing administrative tasks, providing access to a network of renowned companies and rewarding assignments.
Location - PAN India
Years Of Experience - 6 Years And Above
Joining - ASAP
Duration: 6 Months initially
Interview Process - Internal Interview + Client Interview
About the role:
As a Data Engineer - Infrastructure in Marketing Analytics, you will be working with other data engineers and data scientists on a new cloud-ready platform to enable and optimize machine learning models and analytic workflows. Your experience in building and optimizing infrastructure for data science will be essential to help Marketing Analytics uplift its data engineering and data science capability.
Responsibilities:
Liaise with data scientists and data analysts to understand the requirements.
Support data engineers by understanding their requirements for ETLs and data management and how to enable them.
Work collaboratively with stakeholders within and outside of your squad to enable teams, pipelines, and workloads and provide guidance to optimize workloads.
Support data scientists by optimizing the platform to ensure optimal model performance.
Work with the data capability team to understand the roadmap and help to uplift the platform in line with the Marketing and analytics tribe needs.
Optimise data flows by building a robust, fault tolerant data pipeline that cleans, transforms, and aggregates unorganized and messy data.
Promote a culture within the Tribe and the Chapter, encouraging best practices around reviews, quality, and documentation.
Consult with data engineers on the optimal data structures for data ingestion, integration, and analytics layers on a variety of technologies.
Contribute to strategy and roadmap for Marketing
Analytics to support personalization.