- 10 to 14 years of total IT experience with 4+ years in Databricks
- Finance domain experience is must.
- Experience in implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database
- Experience in DBT is must
- ETL/ELT Experience with data migration is must
- A comprehensive foundation with working knowledge of Azure Full stack, Event Hub & Streaming Analytics.
- A passion for writing high-quality code and the code should be modular, scalable, and free of bugs (debugging skills in SQL, Python, or Scala/Java).
- Enthuse to collaborate with various stakeholders across the organization and take complete ownership of deliverables
- Experience in using big data technologies like Hadoop, Spark, Databricks, Airflow, Kafka.
- Adept understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV
- Good knowledge of building and designing REST APIs with real-time experience working on Data Lake/Lakehouse projects.
- Experience in supporting BI and Data Science teams in consuming the data in a secure and governed manner.
- Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are a valuable addition.
Pay: ₹2,500,000.00 - ₹3,500,000.00 per year
Work Location: In person
