Data Architect

Job not on LinkedIn

🕒 March 26

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 56%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Pivotal Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2002

💼 Consulting

🏥 Healthcare

🏗️ Construction

Consulting • Healthcare • Construction

Pivotal Solutions is a staffing and recruiting company that specializes in providing direct hire, contract-to-hire, and contract staffing solutions. Since its inception in 2002, Pivotal Solutions has successfully placed over 10,000 candidates with a diverse set of clients ranging from Fortune 500 companies to small startups across various industries. The company focuses on matching quality candidates with employers in sectors such as IT & Technology, Accounting & Finance, Engineering & Construction, Healthcare, and Legal, ensuring that the recruitment process is seamless and efficient for both job seekers and companies.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• This is a remote position.

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