Description

You will build and maintain scalable data pipelines and cloud infrastructure solutions.

Responsibilities

• Develop and implement data solutions using the Hadoop ecosystem and Spark.
• Build scalable data architectures on AWS and Snowflake.
• Automate deployments and manage infrastructure using DevOps practices and containerization.
• Collaborate within an agile scrum environment to deliver data-driven features.

Required Skills

• 5-8 years of experience with Hadoop and big data technologies.
• 3+ years of hands-on experience with Spark.
• Proficiency in Python, PySpark, or Scala.
• Experience with HDFS, MapReduce, Hive, Pig, Impala, Kafka, Kudu, and Solr.
• 1+ years of experience with Snowflake and AWS cloud development.
• Experience with OpenShift, Docker, and Kubernetes.
• Strong DevOps skills including source control, continuous integration, and automated deployments.
• Any Graduate degree.

Preferred Skills

• Relevant industry certifications.
• Experience with Agile (Scrum) development methodologies.

Key Skills

Education

Any Graduate