Job Description :
Role: Data Engineer
Location: Remote
Duration: Long term contract
Visa: Any visa

You are strong in coding
You have a strong expertise in Data Engineering
You have a deep understanding of data modelling and experience with data engineering tools and platforms such as Kafka, Spark, and Hadoop
You have built large-scale data pipelines and data-centric applications using Big Data tooling like Hadoop, Spark, Hive, Oozie, and Airflow in a production setting.
You’ve tackled challenges of persisting, working with, and exposing metadata from data engineering processes using tools such as Apache Atlas, Cloudera Navigator, etc.
Hands-on experience building Data Engineering tooling with the Microsoft Azure Data Engineering and Analytics stacks including ADLS, Azure Synapse Analytics, Polybase, ADF, Azure Event Hub, Azure Databricks, Active Directory, and PowerBI.
Hands-on experience with event streaming with modern event streaming tooling like Pulsar, Kakfa, Kinesis. Understanding of when streaming vs. batch processing is appropriate, and tradeoffs in a given context
Hands-on experience with MPP query engines like Presto, Dremio, and Spark SQL.
You are comfortable applying data security strategy to solve business problems