Job Title : Senior Data Engineer Azure & Databricks

Location : Open to multiple locations

Experience : 6+ Years

Employment Type : Full-time

Job Description :

We are seeking a highly skilled and experienced Senior Data Engineer with strong expertise in SQL, Python, Spark, Azure Data Factory, and Databricks. The ideal candidate will have a deep understanding of data engineering, data modeling, and ETL/ELT processes, and be capable of designing and maintaining scalable data pipelines across a modern cloud ecosystem.

Key Responsibilities :

- At least 7+ years of total IT experience with strong focus and proficiency in Databases specifically SQL, Azure Data Factory and Databricks.

- Strong knowledge of SQL, Python, and Spark.

- Experience with data modeling, data warehousing, and ETL processes.

- Familiarity with Azure services and architecture.

- Engage in the design, development, and maintenance of complex data pipelines using ADF and Databricks.

- Integrate large scale data from various sources, ensuring data quality and integrity.

- Develop and optimize ETL processes to transform data for analytical and operational needs.

- Analyze and improve performance of data pipelines and ETL processes.

- Work closely with data architects, data scientists, and other stakeholders to understand data requirements and deliver

solutions

Preferred Qualifications :

- Experience with Delta Lake, Kafka, or Airflow is a plus.

- Databricks or Azure certifications are a strong advantage.