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Data Engineer (Informatica)

Full-time

Risewave Consulting Inc.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines using Informatica and other modern data integration tools.
  • Develop and optimize Snowflake-based data solutions, including SQL development and performance tuning.
  • Implement and manage Snowpipe, Streams, and Tasks for automated and efficient data processing workflows.
  • Build and maintain data models that support analytics and reporting requirements.
  • Develop data transformation processes using SQL, Python, and cloud-native technologies.
  • Collaborate with data analysts, architects, and business stakeholders to gather requirements and deliver technical solutions.
  • Monitor, troubleshoot, and optimize data pipelines and database performance.
  • Utilize orchestration tools to automate scheduling and workflow management processes.
  • Ensure data quality, integrity, governance, and security standards are maintained.
  • Support cloud-based data initiatives across AWS, Azure, or GCP environments.
  • Document technical processes, workflows, and data architecture standards.

Required Qualifications

  • Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related field.
  • Minimum of 3 years of experience in Data Engineering or related roles.
  • Strong oral and written English communication skills.
  • Hands-on experience with Informatica and ETL development methodologies.
  • Extensive expertise in Snowflake SQL and data warehousing concepts.
  • Experience with Snowpipe, Streams, Tasks, and Snowflake performance tuning.
  • Advanced SQL and Python programming skills.
  • Strong understanding of data modeling principles and best practices.
  • Experience working with cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with orchestration and workflow automation tools.

Preferred Qualifications

  • Experience with modern ETL and data integration tools such as DBT, Fivetran, and Azure Data Factory (ADF).
  • Knowledge of data governance, security, and compliance standards.
  • Experience working in Agile or DevOps environments.
  • Exposure to large-scale enterprise data platforms and analytics environments.
Vacancy posted 19 days ago
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