Senior ETL/Data Engineer

Morph Enterprise
Washington, DC, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Airflow Microsoft Azure Cloud Database Databases Data Governance Data Integration Extract Transform Load (ETL) Data Transformation Data Mining Data Systems Data Visualization Data Warehousing
+31 more
IBM DB2 Query Languages Information Management Python (Programming Language) PostgreSQL Microsoft SQL Server SQL Azure MicroStrategy Oracle (Applications) Cloud Services DataOps Azure Data Lake Software Requirements Analysis SQL Databases Tableau (Software) Extensible Markup Language (XML) Enterprise Data Management Parquet Esri GIS (Software) Data Processing Azure Data Factory Informatica Powercenter Data Lakes Information Technology Avro Quickbase Apache Nifi Tools for Reporting Azure Synapse Analytics Data Pipelines Databricks

Job description

Job Description100 % OnsiteWebcam Interview We are looking for an ETL data engineer to support data operations for its Cloud Data Exchange. The resource will utilize native Azure tools to perform ETL, data loading and data transformation tasks. The ETL data engineer will support the Enterprise Data team for data curation, processing, and transformation tasks. Specifically, the ETL data engineer will be responsible for the following tasks

Requirements

Responsibilities:1. Analyzes, designs, develops, implements, replicates, and supports complex enterprise data projects.2. 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 data systems.3. 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.4. Establishing the cloud and on-premise connectivity in different systems like ADLS, ADF, Synapse, Databricks5. 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.6. 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.7. Familiarity/experience with data integration and data pipeline tools (e.g., Informatica, Synapse, Apache NiFi, Apache Airflow)8. Familiarity/experience with various data formats including database specific (Oracle, SQL Server, DB2, Quickbase), text formats(CSV, XML) and Binary(Parquet, AVRO)9. Develops, standardizes and optimizes existing data workflow/pipelines adhering to best practices.10. Adhere and contribute to enterprise data governance standards by ensuring data accuracy, consistency, security, and reliability.11. Automates, monitors, alerts, and manages data pipelines and workflows.12. Analyzes and evaluates system changes to determine feasibility, provides alternative solutions, back-up, and rollback procedures.13. Works on the development of new systems, upgrades and enhancements to existing systems and ensure systems follow approved standards and consistency after the changes.14. Develops complex programs and reports in database query language.15. Familiarity/experience with data visualization tools.16. Familiarity/experience handling and securing sensitive data based on the level of the sensitivity.

Minimum Education/Certification Requirements : Bachelor’s degree in Information Technology or related field or equivalent experience

SkillRequired / DesiredAmountof ExperienceStrong knowledge for development of Extract-Transform-Load (ETL) processes, including end-to-end pipelines with data loading from multiple sourcesRequired15YearsAbility to gather and document requirements for data extraction, transformation and load processesRequired15YearsUnderstanding of data warehousing, data lake, business intelligence and information management concepts and standards.Required15YearsAbility to advise internal and external customers on appropriate tools and systems for complex data processing challenges.Required15YearsKnowledge and use of SQL for relational databasesRequired11YearsExperience with various data formats including database specific (Oracle, SQL, Postgres, DB2), text formats (CSV, XML) and Binary (Parquet, AVRO)Required11YearsContribute to enterprise data governance standards by ensuring accuracy, consistency, security and reliabilityRequired7YearsStrong experience with Microsoft Azure tools such as Azure Data Factory, Synapse, SQL Database, Data Lake Storage Gen2, Blob StorageRequired5YearsExperience with data integration and data pipeline tools such as Informatica PowerCenter, Apache NiFi, Apache Airflow and FMERequired5YearsExperience with visualization and reporting software such as MicroStrategy, Tableau, and Esri ArcGISHighly desired3Years

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