Description

You will develop, maintain, evaluate, and test big data solutions.

Responsibilities

• Design data solutions leveraging Hadoop-based technologies, Azure, and HDInsight for cloud-based data latency using Scala.
• Build and deliver data solutions utilizing GCP products and offerings.
• Ingest data from files, streams, and databases, processing it with Hadoop, Scala, SQL Database, Spark, ML, and IoT.
• Develop distributed, high-volume, high-velocity multi-threaded event processing systems.
• Implement scalable solutions to meet increasing data volumes using big data and cloud technologies like PySpark and Kafka.

Required Skills

• Minimum 4+ years of experience in Big Data technologies.
• Proficiency in Python, Scala, or Java.
• In-depth experience with modern data platform components including Hadoop, Hive, Pig, Spark, and Python/Scala.
• Hands-on experience with Google Data Products (BigQuery, Dataflow, DataProc, Looker, Cloud Data Fusion).
• Experience building and delivering data solutions using GCP.
• Strong experience in Spark, Scala, Python, or Java.
• Experience developing efficient software code leveraging Python and Big Data technologies.
• Solid experience across the entire Software Development Lifecycle.
• Experience with Distributed Versioning Control environments such as GIT.

Key Skills

Education

Any Graduate