Data Architect at Pivotal Solutions

Job description

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

Requirements

Requirements not extracted — see the original description below.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awssqlazuregcpjavapython

Platform: zoho-recruit
Effort: medium