ETL Data Engineer (Onsite)

NFF Inc•Washington, DC

19h•$100,000 - $125,000•Onsite

About The Position

NFF, Inc. is seeking an experienced ETL Data Engineer to support the Enterprise Data team with data curation, processing, and transformation tasks. The role involves analyzing, designing, developing, implementing, replicating, and supporting complex enterprise data projects. The engineer will interface with other agencies, consult with user departments on system requirements, advise on environment constraints and operating difficulties, and resolve problems using cloud solutions. This position requires strong knowledge of ETL processes using frameworks like Azure Data Factory, Synapse, Databricks, and Informatica, gathering requirements, analyzing existing code, and performing enhancements or new development. Responsibilities include establishing cloud and on-premise connectivity, working with Azure cloud services, creating end-to-end pipelines, developing and optimizing data workflows, adhering to enterprise data governance standards, automating and monitoring data pipelines, analyzing system changes, developing complex programs and reports, and handling sensitive data securely.

Requirements

Bachelor’s degree in Information Technology or related field or equivalent experience
Required 15 Years Strong knowledge for development of Extract-Transform-Load (ETL) processes, including end-to-end pipelines with data loading from multiple sources
Required 15 Years Ability to gather and document requirements for data extraction, transformation and load processes
Required 15 Years Understanding of data warehousing, data lake, business intelligence and information management concepts and standards.
Required 15 Years Ability to advise internal and external customers on appropriate tools and systems for complex data processing challenges.
Required 15 Years Knowledge and use of SQL for relational databases
Required 11 Years Experience with various data formats including database specific (Oracle, SQL, Postgres, DB2), text formats (CSV, XML) and Binary (Parquet, AVRO)
Required 11 Years Contribute to enterprise data governance standards by ensuring accuracy, consistency, security and reliability
Required 7 Years Strong experience with Microsoft Azure tools such as Azure Data Factory, Synapse, SQL Database, Data Lake Storage Gen2, Blob Storage
Required 5 Years Experience with data integration and data pipeline tools such as Informatica PowerCenter, Apache NiFi, Apache Airflow and FME
Required 5 Years Experience with visualization and reporting software such as MicroStrategy, Tableau, and Esri ArcGIS
Required 3 Years Ability to provide excellent customer service to external partners
Required 3 Years Ability to work independently or as part of a larger team

Nice To Haves

Highly desired 3 Years Strong communication skills, both oral and written
Highly desired 3 Years Experience performing data functions with Databricks

Responsibilities

Analyzes, designs, develops, implements, replicates, and supports complex enterprise data projects.
Interfaces with other agencies, consult with and inform user departments on system requirements, advise on environment constraints and operating difficulties for the current state and advise and resolve problems using cloud solutions and develop and replicate future enhancements to District’s data systems.
Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
Establishing the cloud and on-premise connectivity in different systems like ADLS, ADF, Synapse, Databricks
Hands on experience in Azure cloud services like Azure Data Factory or Azure Synapse, MSSQL Db, Azure SQL DB, Azure Data Lake Storage Gen2, Blob Storage, Python etc.
Worked on creating end to end pipelines to load data by reading it from multiple sources or source systems and load to landing layer or SQL tables.
Familiarity/experience with data integration and data pipeline tools (e.g., Informatica, Synapse, Apache NiFi, Apache Airflow)
Familiarity/experience with various data formats including database specific (Oracle, SQL Server, DB2, Quickbase), text formats(CSV, XML) and Binary(Parquet, AVRO)
Develops, standardizes and optimizes existing data workflow/pipelines adhering to best practices.
Adhere and contribute to enterprise data governance standards by ensuring data accuracy, consistency, security, and reliability.
Automates, monitors, alerts, and manages data pipelines and workflows.
Analyzes and evaluates system changes to determine feasibility, provides alternative solutions, back-up, and rollback procedures.
Works on the development of new systems, upgrades and enhancements to existing systems and ensure systems follow approved standards and consistency after the changes.
Develops complex programs and reports in database query language.
Familiarity/experience with data visualization tools.
Familiarity/experience handling and securing sensitive data based on the level of the sensitivity