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 etc.
  • Work with a team of product and program managers, engineering leaders and business leaders to build data architectures and platforms to support business.
  • Design, develop, and operate high-scalable, high-performance, low-cost, and accurate data pipelines in distributed data processing platforms.
  • Recognize and adopt best practices in data processing, reporting and analysis: data integrity, test design, analysis, validation, and documentation.
  • 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

  • Expertise in SQL, SQL tuning, and ETL development.
  • Ability to handle multiple tasks and priorities.
  • Ability to collaborate with team members to meet project deadlines and milestones.
  • Ability to work well remotely, responsive, communicates well and can work in a fast paced environment.
  • Quick learners are able to quickly understand complex business.
  • Proficiency with Linux/Unix systems.

Required 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.
  • Experience with stream-processing systems: Python, Spark-Streaming, etc. (Nice to have).
  • 1+ Years of experience with relational SQL or, Snowflake and NoSQL databases, like Postgres and Cassandra.

Education Requirements

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


 

Key Skills
Education

Any Graduate

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