Description

Responsibilities

  • 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.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data 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 key 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.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Required Skills

  • Expert level in SQL.
  • Querying and manipulating large data sets for analytical purposes using SQL and SQL like languages (Hive/Presto is strongly preferred).
  • Good attention to detail and ability to QA multiple data sources.
  • Excellent verbal and written communication skills.

Required Experience

  • 5+ years of experience (Sr-level) Strong Programming experience with object-oriented/object function scripting languages: Scala.
  • 5+ years of experience (Mid-level) Experience with big data tools: Hadoop, Apache Spark etc.
  • 1+ years of strong technical Experience with AWS cloud services and DevOps engineering: S3, IAM, EC2, EMR, RDS, Redshift, Cloudwatch with Docker, Kubernetes, GitHub, Jenkins, CICD.
  • 1+ Years of experience with relational SQL or, Snowflake and NoSQL databases, like Postgres and Cassandra.
  • Experience with stream-processing systems: Python, Spark-Streaming, etc. (Nice to have).

Education Requirements

  • Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field.


 

Education

Any Graduate