ETL Data Engineer (ONSITE)

Serigor Inc.; Washington (District of Columbia); On-site; USD 120,000 - 150,000; Full time

Job summary

Serigor Inc. seeks an ETL Data Engineer in Washington, DC to support the Client Enterprise Data team for data curation, processing, and transformation tasks.

The role focuses on building end-to-end ETL pipelines using Azure Data Factory, Synapse, Databricks and Informatica, managing data across multiple formats while ensuring governance and security compliant data flows.

Qualifications

• Strong knowledge for development of Extract-Transform-Load (ETL) processes, including end-to-end pipelines with data loading from multiple sources.
• Ability to gather and document requirements for data extraction, transformation and load processes.
• Understanding of data warehousing, data lake, business intelligence and information management concepts and standards.
• Ability to advise internal and external customers on appropriate tools and systems for complex data processing challenges.
• Knowledge and use of SQL for relational databases.
• Experience with various data formats including database specific (Oracle, SQL, Postgres, DB2), text formats (CSV, XML) and Binary (Parquet, AVRO).
• Contribute to enterprise data governance standards by ensuring accuracy, consistency, security and reliability.
• Strong experience with Microsoft Azure tools such as Azure Data Factory, Synapse, SQL Database, Data Lake Storage Gen2, Blob Storage
• Experience with data integration and data pipeline tools such as Informatica PowerCenter, Apache NiFi, Apache Airflow and FME
• Experience with visualization and reporting software such as MicroStrategy, Tableau, and Esri ArcGIS
• Strong communication skills, both oral and written
• Ability to provide excellent customer service to external partners
• Ability to work independently or as part of a larger team
• 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 and operating difficulties.
• Develops end to end pipelines to load data from multiple sources to landing layers or SQL tables.
• Establishing cloud and on-premise connectivity in ADLS, ADF, Synapse, Databricks.
• Automates, monitors, alerts, and manages data pipelines and workflows.
• Adhere and contribute to enterprise data governance standards ensuring data accuracy, consistency, security and reliability.
• Develops complex programs and reports in database query language.
• Familiarity/experience with data visualization tools.
• Interacts with executive level business users or technical experts.

Skills

ETL pipelines

SQL

Data governance

Data modeling

Databricks

Python

Cloud solutions

Databricks

Azure cloud

Communication skills

Data warehousing

Education

Bachelor's degree in information technology or related field

Tools

Informatica PowerCenter

Apache NiFi

Apache Airflow

FME

Job description

Job Title: ETL Data Engineer

Location: Washington, DC

Duration: 04 Months with possible extension

Job Description:

The ETL data engineer will support the Client Enterprise Data team for data curation, processing, and transformation tasks.

Specifically, the ETL data engineer will be responsible for the following tasks:

• 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 the Client 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

• Demonstrates expertise in conveying technical and functional concepts for a specific technical specialty.
• Identifies improvements to project standards to achieve high quality services/ products. This is a professional position which may require subject matter expertise consistent with demanding and rare technological skills.
• May require coordination of programming activities being conducted by the application development team
• Confers with other business and technical personnel to resolve problems of intent, inaccuracy, or feasibility of computer processing and project design.
• Works with necessary personnel to determine if modifications are necessary with interested personnel to determine necessity for modifications or enhancements.
• Leverages excellent written and verbal communication skills to develop new business process and programming solutions as directed by business and technical stakeholders.
• May coordinate activities of application developers.11-
• Able to identify best practices and standards for the use of the product.
• Proven track record of hands‑on technical design and code work within large complex systems.
• Proven hands‑on technical work with a variety of technologies.
• Demonstrated technical expertise integrating a variety of diverse technical environments and cross‑platform technologies.
• Delivers support and design for industry specific applications that require integration with statewide systems or applications.
• Interacts with executive level business users or technical experts.
• Advanced experience in the required technical subject matter.
• May function as a niche technical SME (Subject Matter Expert).
• Has proven experience across large and complex implementations and systems.

Minimum Education/Certification Requirements:

• Bachelor's degree in information technology or related field or equivalent experience

Skills:

Skills

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