Data Engineer

2 weeks ago

Hyderabad, Telangana, India Algoleap Technologies Full time ₹ 15,00,000 - ₹ 25,00,000 per year

What Youll Do

  • Design, develop, and maintain robust data warehouse solutions to support business intelligence and analytics needs.
  • Design, implement and manage metadata frameworks to ensure data consistency and quality.
  • Develop and maintain reference data and dimensional data models to support various business processes.
  • Design and implement ETL (Extract, Transform, Load) processes using tools like SnapLogic or Informatica to integrate data from multiple sources.
  • Utilize Python for data manipulation, automation, and integration tasks.
  • Optimize the performance of data systems and processes.
  • Implement transformations in DBT (Data Build Tool) to streamline data workflows.
  • Collaborate with cross-functional teams to develop and maintain reporting tools and dashboards.
  • Implement data governance practices to ensure data integrity, security, and compliance.
  • Stay updated with the latest advancements in Generative AI and explore opportunities to integrate AI solutions into data engineering processes.

What You'll Need

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 4 to 5 years of experience in working with data platforms
  • Strong knowledge of data warehouse concepts, metadata frameworks, reference data, and dimensional data modeling.
  • Proficiency in ETL processes and tools like SnapLogic or Informatica.
  • Advanced skills in Python programming.
  • Experience with databases such as SQL Server, PostgreSQL, and Snowflake.
  • Advanced SQL knowledge.
  • Experience with reporting tools such as Tableau, Power BI, or similar.
  • Understanding of data governance principles and best practices.
  • Knowledge of Generative AI and its applications is a plus.
  • Experience with DBT (Data Build Tool) for data transformations.
  • Ability to optimize the performance of data systems and processes.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.

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