Data Engineer

Description:

Mandatory skills :

• High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products & platform.
• Experience in cloud technologies like Databricks/AWS/Azure.
• Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting

Requirements

We are looking for an innovative data engineer who will lead the technical design and development of an Analytic Foundation. The Analytic Foundation is a suite of individually commercialized analytical capabilities that also includes a comprehensive data platform. These services will be offered through a series of APIs that deliver data and insights from various points along a central data store. This individual will partner closely with other areas of the business to build and enhance solutions that drive value for our customers.

Position Responsibilities:

As a Data Engineer within Advanced Analytics team, you will:

• Play a large role in the implementation of complex features

• Push the boundaries of analytics and powerful, scalable applications

• Build and maintain analytics and data models to enable performant and scalable products

• Ensure a high-quality code base by writing and reviewing performant, well-tested code

• Mentor junior engineers and teammates

• Drive innovative improvements to team development processes

• Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features

• Collaborate across teams with exceptional peers who are passionate about