Job Title: Remote Data Engineer

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