Posted:20 hours ago|
Platform:
Hybrid
Full Time
Relevant Experience: 8+yrs
Must have (all levels):
• Proficiency in programming languages such as Python, SQL, and experience with
big data technologies like Hadoop, Spark, and Kafka.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and data storage
solutions (e.g., Databricks, BigQuery, Snowflake).
• Experience with CI/CD processes and tools, including Azure DevOps, Jenkins,
and Git, to ensure smooth and efficient deployment of data solutions.
• Familiarity with APIs to push and Pull data from data systems and Platforms.
• Familiarity with understanding software architecture High level Design document
and translating them to developmental tasks.
Nice to have:
• Familiarity with Microsoft data stack such as Azure Data Factory, Azure Synapse,
Databricks, Azure DevOps and Fabric / PowerBI.
• Experience with machine learning and AI technologies
• Data Modelling & Architecture
• ETL pipeline design
• Expert in Python, Pyspark and SQL
• Azure Data Factory
• Azure DevOps
• Logging and Monitoring using Azure / Databricks services
• Apache Kafka
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