Indigo Recruitment 2024 Hiring for Data Engineer

Indigo Recruitment 2024
Indigo Recruitment 2024

Indigo Recruitment 2024 Hiring for Data Engineer

Indigo Recruitment 2024: Join Indigo Recruitment 2024 and kickstart your career as a Data Engineer. As a leading agricultural technology company, Indigo offers an innovative and dynamic work environment. Join our team to work on impactful projects, design data pipelines, and leverage cutting-edge technologies to drive data-driven decision-making. At Indigo, we value creativity, collaboration, and empower our employees to make a meaningful impact in revolutionizing agriculture.

Company Name: Indigo

Company Website: Indigo

Wikipedia: Indigo Wiki

Position: Data Engineer

Degree Needed: B.E/B.Tech

Year of pass out: 2023/2024

Job Location: Gurgaon, HR, India

Experience Range: 0 – 2 Years

Salary: Best In Industry

Desired Qualifications /Skills:

  • A degree in IT / Computer Science, Data Engineering, Statistics or equivalent
  • Excellent problem-solving and analytical skills with a strong attention to detail.
  • Strong verbal and written communication skills including the ability to work with people from diverse cultures and nationalities.
  • Excellent interpersonal skills to liaise with internal and external stakeholders.
  • Strong understanding of database management and design, including experience with platforms such as  Data Bricks, Snowflake, Redshift, or equivalent.

Job Responsibilities:

  • Analyze data and visualize/present it in the best possible way through charts, interactive reports, and dashboards. 
  • Design, develop, and maintain scalable and efficient data pipelines in an Azure environment & Snowflake.
  • Design, build and maintain the tooling that the wider Data team uses to interact with our data platform, including CI/CD pipelines for Enterprise Data lake, unit/integration/validation testing frameworks for data pipelines, and command-line tools for ad-hoc data evaluation.
  • Develop and maintain data models, reporting systems, and performance metrics (KPIs)that support key business objectives.
  • Identify and implement best practices for data ingestion, transformation, and storage to ensure data integrity and accuracy.
  • Optimize and tune data pipelines for improved performance, scalability, and reliability.  Identify, analyze, and interpret trends or patterns.
  • Monitor data pipelines and proactively address any issues or bottlenecks to ensure uninterrupted data flow. Build necessary mitigation / resiliency for identified risk, if any.
  • Develop and maintain documentation for data pipelines, charts along with algorithms, parameters, models, and relations explanations ensuring knowledge sharing.

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