GCP Data Engineer

Job Title: GCP Data Engineer - Data Flow with Java

Location: Dallas, TX

Project Duration: 12 months Contract

Interview: Three rounds of Video interview

Job Description :

Primary Skills:

Data Flow with Java, Strong Streaming, Kafka, Strong SQL, PubSub, Apache, Hadoop

Secondary Skills:

Java, Unix Scripts, Oozie, Google Cloud Big Query & Big Table, Google Data Proc, Google Data Flow, Google Cloud Storage

Should have 2+ yrs of experience preferably from Telecom Domain Should have worked as Java developer in the initial stage.

Big data expert with 10+ years of experience in Hadoop Big data ecosystem

Experience in cloud environment, specially GCP

Experience in developing both batch and real-time streaming data pipelines

Have experience as a tech lead for data engineering projects

Writes complex SQL queries required to perform Data Acquisition and Ingestion required for Data pipelines

Builds Data pipelines and does data engineering activities using technologies like Python, Hadoop, Spark etc.,

Ensures the upkeep of the Hadoop Data Lake Platform by monitoring the Horton Works HDFS

Monitors the Data Lake constantly and ensures that the appropriate support teams are engaged at the right times

Works in an Agile/Scrum Environment, interacts with a scrum team as well as the Client Stakeholders

Understands the client requirements from Agile scrum user stories and develops low level design required for the user stories

Result Oriented and able to match the pace of work demands of the Program through self-improvement

Preferably Google Cloud Certified Data Engineer

Obsessively focused on coding standards and code quality