Job Description

Only W2

Remote Position

35 Hours/Week

Required details:

1. We need an executive summary for each candidate, along with how the candidate is suitable for scope of work / Required Job Description.

2. 3 Professional References Required: (Need below details for each Reference)

Name of Reference:

Company:

Title:

Phone Number:

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SCOPE OF SERVICES
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

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