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Extract Transfer Load Developer Jobs in Vermont (NOW HIRING)

Vultus Inc

Databricks Engineer

Johnson, VT · On-site +1

The candidate will work on data pipelines, ETL/ELT processes, data transformation, and analytics solutions. Primary Skills * Databricks * Apache Spark / PySpark * Python * SQL * Data Engineering ...

FHR

M-78-Data Architect 144227.

Burlington, VT · On-site

$64 - $82.25/hr

Develop fully automated ETL processes from diverse flat-file and database sources. * Create and maintain dimensional models to support business requirements. * Mentor junior developers, providing ...

FHR

M-78-Data Architect 144227.

Montpelier, VT · On-site

$64.50 - $83/hr

Develop fully automated ETL processes from diverse flat-file and database sources. * Create and maintain dimensional models to support business requirements. * Mentor junior developers, providing ...

Trioptus

Data Engineer SOW RFP VT

Waterbury, VT · On-site

$114K - $137K/yr

Data Engineer TriOptus Waterbury, Vermont, United States (Remote) Data Engineer - RMS Data ... Experience with ETL processes and data transformation for third party systems * Ability to ...

Worky

Principal Data Engineer

Burlington, VT · On-site

As a Principal Data Engineer, you will: * Design and implement software solutions that turn ... Experience building out data pipelines and ELT / ETL systemsComfortable leading system design and ...

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All JobsExtract Transfer Load Developer JobsExtract Transfer Load Developer Jobs in Vermont

Extract Transfer Load Developer information

What is the difference between Extract Transfer Load Developer vs Data Warehouse Developer?

AspectExtract Transfer Load DeveloperData Warehouse Developer
Primary FocusDesigning and developing ETL processes to move data from sources to data warehousesDesigning, developing, and maintaining data warehouse solutions, including schema design and data modeling
Skills & CertificationsETL tools (Informatica, Talend), SQL, data integrationSQL, data modeling, ETL, data warehousing concepts
Work EnvironmentData integration teams, BI projects, database environmentsData architecture teams, BI and analytics projects

While both roles involve working with data and ETL processes, the Extract Transfer Load Developer primarily focuses on building ETL pipelines to transfer data efficiently, whereas the Data Warehouse Developer concentrates on designing and implementing the overall data warehouse architecture. Both roles often collaborate but serve different aspects of data management and analytics projects.

Extract Transfer Load Developer jobs near you

Databricks Engineer

Johnson, VT • On-site, Remote

Vultus Inc
Software Development • 11 - 50 employees
Learn more about Vultus Incexternal

Full-time

Posted 11 days ago

Job description

Databricks Engineer

Experience

3–6 Years

Job Type

Full-Time

Job Location

Hyderabad / Remote / Hybrid

Job Summary

We are looking for an experienced Databricks Engineer to design, develop, and maintain scalable data engineering solutions using Databricks and cloud-based data platforms. The candidate will work on data pipelines, ETL/ELT processes, data transformation, and analytics solutions.

Primary Skills
  • Databricks
  • Apache Spark / PySpark
  • Python
  • SQL
  • Data Engineering
  • ETL / ELT
  • Delta Lake
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS)
  • Data Pipelines
  • Cloud Data Platforms
Secondary Skills
  • Azure / AWS / GCP
  • Data Warehousing
  • Apache Kafka
  • Git / GitHub
  • CI/CD
  • REST APIs
  • Terraform
  • Power BI
  • Performance Optimization
Key Responsibilities
  • Develop and maintain scalable data pipelines using Databricks and PySpark.
  • Design ETL/ELT workflows for processing large datasets.
  • Build and optimize Delta Lake tables and data processing jobs.
  • Develop data solutions using cloud platforms such as Azure, AWS, or GCP.
  • Integrate data from multiple sources into data lake and data warehouse environments.
  • Optimize Spark jobs and Databricks workloads for performance and cost.
  • Implement data quality, validation, and error-handling processes.
  • Collaborate with data scientists, analysts, and application teams.
  • Implement CI/CD practices for data engineering workflows.
  • Troubleshoot production data pipelines and resolve data-related issues.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 3+ years of experience in Data Engineering.
  • Strong hands-on experience with Databricks, PySpark, Python, and SQL.
  • Experience working with cloud data platforms.
  • Good understanding of data modeling, ETL/ELT, and data warehousing concepts.
  • Strong analytical and problem-solving skills.
Preferred Certifications
  • Databricks Certified Data Engineer
  • Microsoft Azure Data Engineer Associate
  • AWS Certified Data Engineer
Salary

Competitive / Based on Experience