Data Engineer

Siri InfoSolutions Inc

Clearwater, FL, United States

7 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$95,000.0 - $127,000.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Data Analysis Data Validation Data Dictionary Data Governance Data Integration Extract Transform Load (ETL) Data Mapping Data Transformation Data Profiling Data Warehousing PostgreSQL Microsoft SQL Server

+7 more

MySQL Oracle (Applications) Performance Tuning Query Optimization Runbook Data Processing Data Pipelines

Job description

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Requirements

SQL & Database Development
Advanced SQL development and query optimization
ETL/ELT Development
Data Warehousing & Data Modeling
Data Quality & Governance
Advanced SQL development and query optimization
Experience with SQL Server, PostgreSQL, Oracle, or MySQL
Data transformation knowledge, Data validation frameworks,
Data reconciliation , Monitoring and auditing

Roles & Responsibilities:

The ideal candidate should possess strong requirements gathering and analysis skills, with the ability to work
closely with business users and stakeholders to understand reporting, analytics, and data integration requirements and translate them into scalable technical solutions.
The candidate should have experience in data analysis, including source-to-target mapping, data profiling, data validation, and data reconciliation to ensure data accuracy and integrity across systems.
The role requires hands-on experience providing support, including troubleshooting
ETL/data pipeline failures, managing incidents, performing root cause analysis, and implementing preventive measures to minimize recurring issues. Strong expertise in performance optimization is essential, including query tuning, pipeline performance improvements, and cloud cost optimization to ensure efficient and reliable data processing.
The candidate must demonstrate excellent stakeholder management skills, collaborating effectively with
Business Analysts, Solution Architects, Data Scientists, and Application Teams while clearly communicating
technical solutions and recommendations to both technical and non-technical audiences.
Additionally, experience creating and maintaining comprehensive documentation, including data flow diagrams, technical specifications, runbooks, standard operating procedures (SOPs), and data dictionaries, is required to support governance, knowledge transfer, and operational excellence.