Principal Data Engineer

Company: Global Logic

Website: Visit Website

Business Type: Small/Medium Business

Company Type: Service

Business Model: B2C

Funding Stage: Series D+

Industry: IT Service

Salary Range: ₹ 10-25 Lacs PA

Job Description

Inviting Applications for the role of Principal Consultant-ETL Data Engineer, Databricks!

We are seeking a seasoned ETL Data Engineer to join our dynamic team and play a pivotal role in designing, developing, and maintaining robust ETL pipelines that extract, transform, and load data into our Snowflake data warehouse. You will collaborate with cross-functional teams to ensure data quality, accuracy, and consistency, enabling informed decision-making and driving business insights.

Responsibilities

• Analyze and understand complex business requirements to design and develop efficient ETL pipelines using Informatica ETL tools.
• Collaborate with data architects, analysts, and business users to gather and define data requirements.
• Develop, test, and implement ETL pipelines for data extraction, transformation, and loading into Snowflake.
• Optimize ETL processes for performance and scalability to handle large volumes of data.
• Ensure data quality and integrity throughout the ETL process by implementing validation and error-handling mechanisms.
• Document ETL processes and procedures for knowledge sharing and maintenance.
• Troubleshoot and resolve ETL pipeline issues in a timely manner.
• Stay updated on the latest ETL technologies and best practices.
  
  

• Bachelors degree in Computer Science, Engineering, or a related field.
• hands-on experience in ETL development using Informatica ETL tools.
• Proven experience working with Informatica and Snowflake data warehouse.
• Strong understanding of SQL and data warehousing concepts.
• Experience with data modeling and data integration techniques.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Strong communication and interpersonal skills.
  
  

• Experience with cloud platforms (AWS, GCP, Azure).
• Knowledge of Python or other scripting languages.
• Experience with data quality and governance tools.