ETL Informatica Lead

Robotics Technologies LLC
Albany, NY, United States
5 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$153,920 - $156,000
Working hours
Regular working hours
Job source

Tech stack

Microsoft Azure Cloud Computing Code Review Computer Programming Continuous Integration Information Engineering Data Governance Extract Transform Load (ETL) Data Warehousing Python (Programming Language) Machine Learning SQL Azure
+7 more
Azure Data Lake Software Engineering SQL Databases Data Processing Informatica Powercenter Information Technology Databricks

Job description

  • Lead and mentor technical professionals, fostering a collaborative and high-performance team.

  • Design and implement scalable data processing solutions using Azure Databricks.

  • Gather business requirements and translate them into technical specifications.

  • Oversee the complete development lifecycle, including planning, design, deployment, and maintenance.

  • Conduct code reviews and ensure adherence to coding standards and best practices.

  • Coordinate with technical and non-technical stakeholders.

  • Identify and mitigate project delivery and team performance risks.

Requirements

  • 8+ years of experience with end-to-end project delivery and technical team leadership.

  • Strong programming skills in Python, Scala, or SQL.

  • Experience with SQL, Informatica, and cloud technologies.

  • Hands-on experience with Azure Databricks.

  • Experience with Azure Data Lake Storage and Azure SQL Database.

  • Strong understanding of data modeling, ETL processes, and data warehousing.

  • Ability to lead teams and manage multiple projects simultaneously.

Preferred Skills:

  • Azure DevOps and CI/CD experience.

  • Familiarity with machine learning frameworks and libraries.

  • Knowledge of data governance and compliance standards.

  • Strong analytical, problem-solving, and communication skills.

  • Azure or data engineering certifications are a plus.

Qualifications:

  • Bachelor’s degree in Computer Science, IT, or a related field.

  • Proven experience in data engineering, software development, and technical team leadership.

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