Azure DB Professional

We are seeking a highly skilled Azure DB Professional with 4-5 years of experience in Data Engineering and Data Warehousing. You will leverage your hands-on expertise in advanced SQL, Python, and cloud platforms like Azure and Databricks. This role requires proficiency in scheduling tools, knowledge of Big Data tools, and familiarity with CI/CD processes, along with excellent communication and stakeholder management skills.

Roles & Responsibilities:

• Work hands-on with advanced SQL and Python for data manipulation and scripting.
• Perform data profiling to ensure data quality and integrity.
• Work extensively on Cloud platforms like Azure and Cloud Data Warehouses like Databricks.
• Utilize Scheduling tools such as Airflow, Control-M, etc., for orchestrating data workflows.
• Manage and work with structured and unstructured data types.
• Collaborate effectively with a team of data engineers working from different locations and time zones.
• Prioritize and manage multiple concurrent activities efficiently.
• Contribute to CICD processes using tools like BitBucket/GitHub, Jenkins, Nexus, etc.
• Support data engineering and data warehousing initiatives.

Skills Required:

• Hands-on experience with advanced SQL and Python.
• Hands-on experience in data profiling.
• Hands-on experience in working on Cloud like Azure and Cloud Data Warehouses like Databricks.
• Hands-on experience on Scheduling tools like Airflow, Control-M etc.
• Knowledgeable on Big Data tools like Spark (Python/Scala), Hive, Impala, Hue and storage (e.g., HDFS, HBase).
• Knowledgeable in CICD processes (BitBucket/GitHub, Jenkins, Nexus etc.).
• Knowledgeable managing structured and unstructured data types.
• Excellent communication.
• Effective prioritization skills.
• Pragmatic stakeholder management.
• Proficient in Excel, Word, and PowerPoint.
• Ability to prioritize and manage multiple concurrent activities.

QUALIFICATION:

• Bachelor's or Master's or Doctorate degree in Mathematics, Statistics, Computer Science, Information Management.