Senior Data Engineer - Remote / Telecommute

Requirement/Must Have:

• Bachelor s degree in Computer Science, IT, or a related field.
• Minimum 5 years of experience as a Data Engineer or Data Analyst.
• Minimum 3 years of experience in data quality, security, and governance.
• Strong experience in dimensional data modeling (star and snowflake schemas).
• Experience with Power BI, DAX, Tableau, or Python for reporting and visualization.
• Experience integrating data from on-premises and cloud-based sources.
• Experience with ETL/ELT tools such as SSIS and Azure Data Factory.
• Experience with APIs for data extraction and integration.
• Experience with CI/CD pipelines, Git, and Infrastructure as Code tools.

Experience:

• Experience building and maintaining data pipelines across cloud platforms (Azure, AWS, Google Cloud Platform).
• Experience performing migrations across on-premises and cloud environments.
• Experience working with SQL, NoSQL, and large datasets.
• Experience in Agile environments with cross-functional teams.

Responsibilities:

• Design, build, and maintain scalable data pipelines and architectures.
• Develop and optimize ETL/ELT processes for performance and scalability.
• Create dimensional models to support reporting and analytics.
• Integrate data from multiple sources ensuring data quality and completeness.
• Manage data lakes and warehouses with proper governance and security controls.
• Develop dashboards and reports using Power BI and other tools.
• Analyze datasets to identify trends, patterns, and insights.
• Build predictive and descriptive models using statistical methods and programming languages.
• Collaborate with stakeholders to translate business requirements into data solutions.
• Implement CI/CD pipelines for data workflows and automate deployments.
• Present insights and findings to technical and non-technical stakeholders.

Should Have:

• Experience with databases such as PostgreSQL, MongoDB, and Azure Cosmos DB.
• Experience with data integration tools such as Synapse, Informatica, Talend, DBT, or Airbyte.
• Exposure to AI/ML tools and platforms such as Databricks.
• Experience in large-scale or government environments.

Skills:

• Data engineering and pipeline development.
• Data modeling and warehousing.
• Data analytics and visualization.
• Cloud platforms (Azure, AWS, Google Cloud Platform).
• Programming (Python, R, SQL).
• CI/CD and DevOps practices.
• Communication and stakeholder management.