GCP Data Engineer

Mandatory Areas

Must Have Skills

Spark 8+ Yrs of Exp

Scala 8+ Yrs of Exp

GCP 5+ Yrs of Exp

Hive 8+Yrs of Exp

SQL - 8+ Yrs of Exp

ETL Process / Data - 8+ Years of experience

Responsibilities

As a Senior Data Engineer, you will

Design and develop big data applications using the latest open source technologies.

Desired working in offshore model and Managed outcome

Develop logical and physical data models for big data platforms.

Automate workflows using Apache Airflow.

Create data pipelines using Apache Hive, Apache Spark, Scala, Apache Kafka.

Provide ongoing maintenance and enhancements to existing systems and participate in rotational on-call support.

Learn our business domain and technology infrastructure quickly and share your knowledge freely and actively with others in the team.

Mentor junior engineers on the team

Lead daily standups and design reviews

Groom and prioritize backlog using JIRA

Act as the point of contact for your assigned business domain

Requirements

8+ years of hands-on experience with developing data warehouse solutions and data products.

4+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive,Scala, Airflow or a workflow orchestration solution are required

 

• 4 + years of experience in GCP,GCS Data proc, BIG Query
  
   

2+ years of hands-on experience in modeling(Erwin) and designing schema for data lakes or for RDBMS platforms.

Experience with programming languages: Python, Java, Scala, etc.

Experience with scripting languages: Perl, Shell, etc.

Practice working with, processing, and managing large data sets (multi TB/PB scale).

Exposure to test driven development and automated testing frameworks.

Background in Scrum/Agile development methodologies.

Capable of delivering on multiple competing priorities with little supervision.

Excellent verbal and written communication skills.

Bachelor's Degree in computer science or equivalent experience.

The most successful candidates will also have experience in the following:

Gitflow

Atlassian products BitBucket, JIRA, Confluence etc.

Continuous Integration tools such as Bamboo, Jenkins, or TFS