Sr. Executive/ AM Data Engineer

Key Skills:

Technical Skills:

• Proficiency with Data bricks Lakehouse platform, Delta Lake, Genie, ML Flow (e.g., Data bricks Certified Data Engineer Associate) is a plus.
• SQL and NoSQL: Experienced working with both SQL and NoSQL data sources (e.g., MySQL, PostgreSQL, MongoDB etc.)
• Strong knowledge of Spark, especially in PySpark or Scala, for data transformation.
• Proficiency in Python, R and other programming languages used in data processing.
• Experience with cloud platforms like Azure, AWS, particularly Azure storage & services
• Knowledge of ML Pipelines, data streaming platforms (e.g., Apache Kafka, AWS Kinesis).
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker)

Educational Qualification:

• Education: Bachelors degree in Computer Science, Engineering/MCA, or a related field (Masters preferred)
• 3+ years of experience as a Data Engineer, with hands-on experience in Databricks