ETL / Data Warehouse(DWH) Developer

Job Title:

Experience:

About the Role:

We are seeking a skilled and experienced ETL / Data Warehouse Developer to join our dynamic team. The ideal candidate will have a strong background in designing, developing, and maintaining ETL processes and data warehouse solutions, working with cutting-edge tools and technologies.

Key Responsibilities:

• Develop, maintain, and optimize ETL pipelines to extract, transform, and load data from various sources into the data warehouse.
• Collaborate with data architects and business analysts to design scalable data models and solutions.
• Work extensively with Data Warehouse technologies to ensure efficient storage and retrieval of data.
• Implement data transformations and build data integration workflows using Informatica or Talend.
• Develop SQL scripts for data manipulation and retrieval.
• Utilize Python for automation, scripting, and enhancing ETL processes.
• Work with Snowflake as the primary cloud data warehouse platform.
• Use DBT (Data Build Tool) for data transformation and modeling within the warehouse environment.
• Troubleshoot and resolve data pipeline issues to ensure data accuracy and availability.
• Document ETL processes and data flow for knowledge sharing and audit purposes.

Required Skills and Experience:

• Strong experience with ETL tools such as

  Informatica

  or

  Talend

  .
• Expertise in

  Data Warehouse concepts

  and architecture.
• Proficient in

  Python

  for scripting and automation.
• Advanced

  SQL

  skills for querying and data manipulation.
• Hands-on experience with

  Snowflake

  cloud data warehouse platform.
• Familiarity with

  DBT (Data Build Tool)

  for managing data transformations.
• Experience working in Agile/Scrum environments is a plus.
• Excellent problem-solving and communication skills.

Preferred Candidate Location:

• All Except Hyderabad and Telangana and Andhra Pradesh both job and studies also.

Why Join Us?

• Opportunity to work remotely with a flexible schedule.
• Work with advanced data technologies and tools.
• Competitive compensation up to 18 LPA based on experience and skills.
• Be part of a collaborative and innovative team.