Data Engineer : ETL / Snowflake / ADF / Databricks | Qween

Data Engineer : ETL / Snowflake / ADF / Databricks

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Key Responsibilities:

Design and develop scalable ETL pipelines using Snowflake, ADF, and Databricks.
Write efficient Python and SQL scripts for data ingestion and transformation.
Ensure data integrity and automation through Airflow/Kafka.
Debug and support production pipelines and work in Agile teams.
Contribute to data quality governance and CI/CD processes.
Collaborate with stakeholders to meet business data needs.

Role Proficiencies:

Technical: Proficient in Snowflake cloud warehouse. Strong SQL development and query tuning. Python scripting for ETL and data processing. Experience in building workflows with Azure Data Factory and Databricks. Familiarity with orchestration tools (Airflow), and messaging tools (Kafka).
Soft Skills: Analytical mindset. Agile collaboration. Troubleshooting & debugging. Communication and documentation skills

Experience:
2 - 5 Years
Salary:
5 LPA - 8 LPA
Diversity Candidate:
Yes
Location:
Noida
Address:
Noida
Primary Skills:
Snowflake Azure Data Factory (ADF) Databricks ETL Pipelines Python SQL
Secondary Skills:
Apache Kafka Airflow Data Modeling CI/CD Cloud Data Platforms Data Quality Healthcare domain (preferred)
Industry:
Healthcare
Job Type:
Full time
Degree:
Bachelor's degree in Computer Science, Information Technology, or related discipline

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