Location: Pune
Total Experience Required: 5 Years
Notice Period: 15 Days Maximum
Role Overview: We are seeking a Senior Azure Data Engineer with extensive experience in Python, Apache Spark or PySpark, and SQL. The ideal candidate will have strong experience working with Azure cloud platforms, particularly Azure Databricks, and other Azure data services. This role will involve designing, developing, and maintaining scalable data pipelines and ETL processes, ensuring data quality, and leveraging various Azure services to build robust data solutions.
Mandatory Skills and Experience:
- 3+ years of experience with Python.
- 3+ years of relevant experience with Apache Spark or PySpark.
- 4+ years of experience in writing advanced, complex SQL queries.
- 3+ years of experience on Azure Cloud Platform, including:
- Azure Databricks (mandatory).
- Data Pipeline (good to have).
- Azure Synapse (good to have).
- Data Factory (good to have).
- Proficiency in data engineering concepts and best practices.
Good to Have:
- Experience with Airflow or other scheduling tools.
- Knowledge of data modeling and warehouse strategy.
- Experience with Snowflake.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Strong problem-solving skills and the ability to work independently and collaboratively.
- Excellent communication skills to effectively interact with team members and stakeholders.
Why Join Us
- Be a part of a dynamic and growing team that values innovation and quality.
- Work with cutting-edge technologies and tools.
- Opportunity for continuous learning and professional development.