Remote Data Engineer Needed at Talent500

About Talent500 INC

Talent500 helps companies hire, build and manage global teams. We are trusted by the world’s leading companies – from Fortune 500s to fast-growth startups – to help them build and run their high-impact remote teams. Today, Talent500 is the fastest growing remote team builder in the world.

Our suite of proprietary AI-enabled tools and products provide businesses with an end-to-end platform to build their global teams. This includes access to a “Global Talent Network” of 300,000+ professionals globally and tools to manage contracting, payroll and benefits without the hassle of setting up legal entities or infrastructure.

We are backed by Accel Partners & ANSR, a global leader and enterprise transformation platform. For the last 15 years, the world’s leading organisations have trusted ANSR to transform their businesses by building technology and innovation hubs in talent-rich locations.

About the job

Challenges You Will Solve

Create and maintain optimal data pipeline architecture,
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading data from various sources using SQL and AWS ‘big data’ technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other critical business performance metrics.
Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

About You

5+ years of experience in a Data Engineer role.
Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Experience with AWS cloud services: EC2, EMR, RDS, Redshift
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Experience in Data warehouse is mandatory
Experience in BI is a plus