DATA ENGINEER

KEY RESPONSIBILITIES:

• Design construct and maintain data pipelines for data ingestion transformation and storage
• Ensure data integrity quality and security throughout the data lifecycle.
• Optimize data processing workflows for performance and scalability.
• Collaborate with data scientists and analysts to facilitate data accessibility.

QUALIFICATIONS:

• 5 years of experience in a data engineering or data platform role.
• Strong experience with Azure Databricks Data Lake Storage PySpark and Jupyter Notebooks.
• Proficiency in SQL Python and distributed data processing frameworks.
• Experience working with Azure Data Factory Azure Synapse or similar ETL/ELT tools.
• Understanding of data governance privacy and security best practices.
• Familiarity with supporting ML/AI workflows including data preparation for machine learning pipelines.
• Excellent problem-solving and communication skills

Vertical

Technology

Key Skills
Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala
Employment Type : Full Time
Experience: years
Vacancy: 1