Data Engineer

Data Engineer

Dhaka Technologies Limited is seeking a highly skilled Data Engineer for one of our clients in Annapolis, Maryland. This is a Hybrid Full-Time position.

Job Type: Contract/W2/C2C

Visa Status: Any

Salary: Negotiable based on Experience

Contract Duration: 2 year+, 4 years option

Onsite Location: Annapolis, Maryland

Vacancy: 1

Essential Functions

Data Modeling and Analytics:

• Data Modeling: Design and develop analytic cubes, tabular models, and multidimensional models using Star Schema and Snowflake Schema.
• Data Pipelines: Build and manage ETL processes to integrate data from on-premises and cloud-based sources.
• Troubleshooting: Analyze and resolve Data Warehouse and reporting system issues, ensuring optimal performance and reliability.

Cloud and Data Services:

• Azure Expertise: Utilize Microsoft Azure services, including Azure Synapse Analytics, Azure Data Factory, and Azure Data Lake Storage.
• Data Visualization: Develop visual reports and dashboards with filters, variables, and drill-down capabilities using tools like Power BI and Tableau.
• Job Scheduling: Schedule and manage ongoing jobs using tools like Apache Airflow.

Optimization and Compliance:

• Performance Optimization: Optimize data processing workflows, data models, and queries for performance and scalability.
• Security and Compliance: Implement role-based access control, data encryption, and ensure compliance with industry standards like HIPAA, GDPR, and CCPA.
• High Availability: Design solutions for high availability and disaster recovery.

Skills, Experience, & Capabilities:

Meet the following minimum qualifications:

• Education: Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related field. Substitution: 4 years of additional experience can substitute for a degree. A Master's degree can substitute for 1 year of experience.
• Experience: At least 5 years of experience in designing and developing analytic cubes, reporting, data modeling, and data pipelines.
• Technical Skills:
• Advanced knowledge of SQL Server, Oracle, and writing complex SQL queries.
• Experience with ETL tools and processes.
• Proficiency in data visualization tools like Power BI and Tableau.
• Strong understanding of Microsoft Azure cloud services.

Desired Qualifications:

• Data Warehouse Modeling: Experience with data warehouse modeling and development.
• Agile Development: Familiarity with Agile methodologies and project management tools like JIRA.
• Machine Learning: Exposure to machine learning techniques and algorithms.
• Certifications: Certifications such as Microsoft Solutions Developer, Oracle, or Google Cloud are a plus.

Desired Software and Services Experience:

• Databases: SQL Server, Oracle.
• Data Visualization: Power BI, Tableau, SSRS.
• Cloud Services: Microsoft Azure Services, Azure Data Factory, Azure Synapse Analytics.
• ETL and Automation: Python, Apache Airflow, Azure Data Factory.
• Project Management: JIRA, Confluence.
• Data Modeling: ERWIN.

Application Process: Interested candidates should submit their resume and cover letter to View email address on click.appcast.io. Please include "Data Engineer Application" in the subject line.