Senior Data Engineer – Specialist 3

Job Title: Senior Data Engineer – Specialist 3

Job Location: Remote

Job Type: 12 Month Contract

Work Schedule: Monday-Friday 9AM-5PM

Pay Rate: $100 per hour 

Tasks:

• Collaborate with stakeholders to define and understand data needs.

• Design and develop efficient data architectures that can support large-scale data processing and storage requirements.

• Develop and maintain data pipelines, data models, and ETL processes that align with business requirements, data quality standards, and industry best practices.

• Work closely with other data engineering teams to build and maintain reusable data pipelines and tools, enabling faster time-to-market for data-driven solutions.

• Monitor, troubleshoot, and optimize data pipelines and processes for performance, reliability, and scalability.

• Ensure the quality and integrity of various datasets across different platforms and data sources.

• Continuously evaluate and recommend emerging technologies and methodologies to improve data engineering processes, workflows, and performance.

• Mentor and guide junior data engineers on technical best practices, code reviews, and design patterns to ensure high-quality, scalable, and maintainable data engineering solutions.

• Perform special technology-related projects, as assigned.

  MANDATORY SKILLS/EXPERIENCE

  Note: Candidates who do not have the mandatory skills will not be considered

• 12+ years of experience in data engineering with a focus on designing and building scalable data platforms using cloud technologies.

• Strong experience designing and implementing data models and schemas in Snowflake.

• Define Snowflake databases objects to support efficient data storage and retrieval.

• Expert proficiency in SQL and one or more programming languages such as Python, Java, or Scala.

• Knowledge of cloud-based data platforms such as AWS, Azure, or GCP, including experience with cloud-based storage, compute, and data processing services.

• Experience designing and implementing ETL and data integration pipelines, and familiarity with data modeling concepts and database design principles.

• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

• Experience with Agile methodologies and working in an Agile team environment.

• Experience developing production-grade, large-scale data solutions using cloud technologies.

• Experience managing data orchestration at scale using tools such as Airflow and Dagster.

• Familiarity with version control systems (e.g., Git) and CI/CD principles.

  DESIRABLE SKILLS/EXPERIENCE:

• Experience developing dashboards and reports in applications such as Oracle Analytics Server (OAS), Microsoft Power BI, and Google Looker.

• Thorough experience with data integration tools such as Informatica Intelligent Cloud Services and MuleSoft.

• Experience using Azure services for Security, Blob Storage, Data Lake, Databricks, Data Factory etc.

• Experience with Azure Monitoring services

• Microsoft Certified Azure Solutions Architect Expert or a Snowpro Certification or a similar one