Offer summary

Qualifications:

Bachelor’s degree in computer science, information technology, or a related field., Extensive knowledge of coding languages such as Java, Scala, and Python., Experience with cloud infrastructure (AWS, Azure, GCP) and building data pipelines using AWS Glue and Redshift., Strong analytical, problem-solving, and communication skills..

Key responsibilities:

Architect and design robust ETL processes to meet client specifications.

Analyze data to identify necessary pre-processing steps for automated ETL processes.

Deliver data pipelines with quality and implement automated testing.

Collaborate with teams to understand and fulfill the company's big-picture data needs.

Job description

This is a remote position.

Roles & Responsibilities

Strong verbal/written communication & facilitation skills. Ability to take a requirement document, work through any ambiguity and follow through to implementation independently
Strong analytical and problem-solving abilities
Strong work ethic, sense of ownership and a team player
Architect and design robust ETL processes using tools like Spark, Airflow, AWS Glue etc. to desired client specifications
Ability to analyze the data to identify the necessary pre-processing steps for the automated ETL processes
Solid understanding of SQL using databases like MS SQL Server, Redshift, etc.
Experience in Cloud Infrastructure (AWS, Azure, GCP)
Delivering the data pipeline with Quality and automated testing

Required Skills

Bachelor’s degree in computer science, information technology, or a related field.
Extensive knowledge of coding languages used to build data pipelines, such as Java, Scala, and/or Python
Experience with Databricks or Spark
Hands on experience building data pipelines in AWS using AWS Glue, Redshift, S3 buckets and other relevant technologies.
Proficiency in warehousing architecture techniques, including MOLAP, ROLAP, ODS, DM, and EDW.
Proven work experience as an ETL developer.
Experience using Source Code and Version Control systems like Git etc.
Strong project management skills.
Ability to analyze a company’s big-picture data needs.
Clear communication skills.
Ability to troubleshoot and solve complex technical problems.
Desire to continually keep up with advancements in data best practices