Senior Data Engineer in Fulton, Maryland at Reveal Global Consulting LLC
Job Function: Information Technology
Reveal Global Consulting LLC
Fulton, Maryland, 20759, United States
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Job Description
Work Location: Fulton, Maryland or Washington DC
Experience: 10 + years
Role DescriptionThe candidate must be a hands-on Data Engineer with the ability to lead the work, engage directly with the client, understand requirements, and design and develop effective solutions. The role also requires Oracle/PL/SQL development and database-modernization experience, including migration from Oracle to PostgreSQL in the cloud. Strong communication and the ability to collaborate effectively are essential.
Technical Requirements- Data Pipeline Development: Design, implement, and manage robust data pipelines using Python, PySpark, and SQL to efficiently extract, transform, and load data from diverse batch and streaming sources.AWS Expertise: Demonstrate expertise in core AWS services such as AWS DMS, AWS Glue, AWS Step Functions, Amazon S3, Amazon Redshift, Amazon RDS, Amazon EMR, AWS IAM, and AWS Lambda, and apply them to build scalable and reliable data solutions.Data Modeling: Develop and maintain efficient data models to support analytical and reporting needs.Oracle/PL/SQL Development: Develop, maintain, troubleshoot, and optimize Oracle database objects and PL/SQL components, including stored procedures, packages, functions, triggers, views, and complex SQL queries.Oracle-to-PostgreSQL Cloud Migration: Assess Oracle schemas and PL/SQL code, identify compatibility gaps, convert database objects and SQL logic to PostgreSQL, and support cloud migration planning, data validation, testing, performance tuning, cutover, and post-migration stabilization.Database Management: Administer databases using AWS services such as Amazon RDS or Amazon Redshift, with a focus on schema design, performance optimization, and monitoring.Data Warehousing: Use Amazon Redshift or Snowflake to create high-performing analytical databases that support data-driven decision-making.ETL Best Practices: Implement industry best practices for ETL processes, including data validation, error handling, and data-quality checks.Performance Optimization: Optimize query performance through continuous database tuning and effective use of AWS scalability capabilities.Monitoring and Logging: Establish robust monitoring and logging mechanisms using AWS CloudWatch, AWS CloudTrail, or comparable tools to ensure pipeline reliability.Security and Compliance: Follow security best practices and applicable compliance standards, tailoring solutions to meet GDPR, HIPAA, or other regulatory requirements.Automation: Automate deployment and scaling of data pipelines using infrastructure-as-code tools such as AWS CloudFormation and Terraform.Collaboration: Collaborate closely with cross-functional teams, including data scientists, analysts, and other stakeholders, to understand their data needs and provide effective solutions.Continuous Learning: Stay current with developments in AWS services and data-engineering methodologies and apply new insights to enhance the data infrastructure.
- Strong communication skills and the ability to work effectively with diverse technical and business groups.
- Medical/Prescription Drug PlanDental PlanVision PlanBasic Life InsuranceAccidental Death & Dismemberment InsuranceShort Term Disability InsuranceLong-Term Disability Insurance401K Retirement PlanFlexible SpendingEmployee Assistance Program (EAP)Voluntary Supplemental Health, Life and Legal BenefitsPaid time off and Holidays
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Job Location
Fulton, Maryland, 20759, United States
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