Shelter

Tech / AI / Software

DataEngineering&OperationsLead

$114–141k columbia, south carolina, united states FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Supervisor candidates.

The Brief

“Data Engineering & Operations Lead at Shelter. Skills: Snowflake, AWS, Qlik, data engineering principles, data modeling, ETL processes, data warehousing concepts, SQL, Python, PowerShell. architecture & design of data warehouse operations. implementation of data warehouse operations”

Industry & Context.

Tech / AI / Software
Problems you'll solve

problem-solving and troubleshooting abilities; diagnose and resolve data engineering issues

Eligibility Requirements

Ability to perform the essential functions of the position, with or without a reasonable accommodation

What They're Looking For.

Must Have

7+ years as a Data Engineering Practitioner, understanding of data engineering principles, understanding of data modeling, understanding of ETL processes, understanding of data warehousing concepts, Solid programming skills in SQL, Solid programming skills in scripting languages (e. g. , Python, PowerShell)

Nice to Have

Bachelor's or Master's degree in computer science, information systems, or a related field, Knowledge of dbtLabs, Knowledge of Astronomer, Knowledge of Github

What You'll Do.

architecture & design of data warehouse operations

implementation of data warehouse operations

maintenance of data warehouse operations

performance optimization

data lifecycle management

How You'll Work.

Team & Collaboration

work effectively with cross-functional teams and stakeholders

Communication Scope

Excellent communication and collaboration skills

Full Job Description

**A company built to serve you. It's your career, Shelter it!** **Data Engineering & Operations Lead** **$113,687 - $140,972 / year minimum starting pay** **Job Level: Supervisor** **Location: Columbia, Missouri (On-site, Full-time)** Shelter maintains broad salary ranges for its roles in order to account for variations in geographic location, education, training, skills, relevant work experience, business needs and market demands. Please remember that this range is the starting base pay only and does not consider other components that make up the total rewards package for the position. **What You Will Be Doing:** Responsible for architecture & design, implementation, and maintenance of data warehouse operations. Expertise in Snowflake, AWS and Qlik tools is required to ensure efficient and scalable data storage, processing, and analytics. **What We 're Looking For: ** * Bachelor's or Master's degree in computer science, information systems, or a related field is preferred. * Proven experience (7+ years) as a Data Engineering Practitioner typically required. * Proficiency in Qlik Replicate, Compose, DBTLabs & Astronomer for data integration, replication, and transformation. * Strong understanding of data engineering principles, data modeling, ETL processes, and data warehousing concepts. * Expertise in Snowflake, including data ingestion, storage, performance optimization, and security. * Experience with cloud platforms, such as AWS or Azure, and working with cloud-based data solutions and services. * Familiarity with data quality, data governance, and data lifecycle management practices. * Solid programming skills in SQL and scripting languages (e.g., Python, PowerShell) for data manipulation and automation. * Knowledge of dbtLabs, Astronomer, Github is preferred * Strong problem-solving and troubleshooting abilities, with the ability to diagnose and resolve data engineering issues. * Excellent communication and collaboration skills, with the ability to work effect

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