Data Engineer

Overview

Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Data Engineer
GCp Data Engineer
Retail
Java
Spring Boot
C++
6+ Kafka
Gitflow
Kubernetes
docker
BitBucket
JIRA
Confluence
Bamboo
Jenkins
Continuous Integration
GCP
Python
Scala
Continuous Integration and Development
Agile
Apache Airflow
Apache Hadoop
Apache Hive
Apache Kafka
Apache Spark
Atlassian
Automated Testing
Big Data
Data Processing
Data Warehouse
Design Review
Google Cloud Platform
PB
Perl
Programming Languages
RDBMS
Scripting
Scrum
Shell
Spring Framework
Supervision
Test-driven Development
Microsoft TFS
Modeling
Offshoring
Open Source
Big data Engineer
TFS
Azure Data Engineer
Retail Domain

Job Details

Job Title-Data Engineer Location: This is based out of Sunnyvale, CA and candidate is expected to be in office from day 1

Mandatory if Applicable Domain Experience (If any ) – Retail Mandatory if Applicable Domain Experience (If any ) Retail Mandatory Areas Must have skills. Java, Spring Boot, C++ 6+ Kafka Gitflow, Kubernetes, docker Atlassian products BitBucket, JIRA, Confluence etc. Continuous Integration tools such as Bamboo, Jenkins, or TFS Google Cloud Platform, Python, Java, Scala, Jenkins, Kubernetes


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, 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: Google Cloud Platform Experience
4+ years of recent Google Cloud Platform experience
Experience building data pipelines in Google Cloud Platform
Google Cloud Platform Dataproc, GCS & BIGQuery experience 15+ years of hands-on experience with developing data warehouse solutions and data products.
6+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive or Spark, Airflow or a workflow orchestration solution are required
5+ years of hands-on experience in modeling 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

 

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