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Senior ETL/Data Engineer

Morph Enterprise

100 % Onsite

Webcam 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:




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, Databricks

5. 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

Skill

Required / Desired

Amount

of Experience

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

Highly desired 3 Years

Strong communication skills, both oral and written

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

Required 3 Years

Experience performing data functions with Databricks

Highly desired 3 Years
Vacancy posted 2 days ago
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