Basic Qualifications:

- 5+ years of relevant data engineering experience.
- Strong understanding of data modeling principles including Dimensional modeling, data normalization principles.
- Good understanding of SQL Engines and able to conduct advanced performance tuning.
- Ability to think strategically, analyze and interpret market and consumer information.
- Strong communication skills - written and verbal presentations.
- Excellent conceptual and analytical reasoning competencies.
- Comfortable working in a fast-paced and highly collaborative setting.
- Familiarity with Agile Scrum principles and ceremonies.

Preferred Qualifications:

- 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required.




- 2+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required.
- 1+ years of experience programming languages (e.g. Python, Pyspark), preferred.
- 1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred.
- Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow.

Required Education:

- Bachelor's Degree in computer science, information systems, or related field or equivalent work experience.

📌 Senior Data Engineer - Big Data/Data Warehousing (India)
🏢 Zyoin
📍 India