Google Cloud Lead Engineer

Description

ROLE: Google Cloud Lead Engineer(Remote)

We are Cognizant Artificial Intelligence

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. However, clients need new business models built from analyzing customers and business operations at every angle to really understand them.

With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks

*You must be legally authorized to work in United States/Canada without the need of employer sponsorship, now or at any time in the future *

This is a remote position open to any qualified applicant in the United States/Canada

Qualification:

Bachelors in science , engineering or equivalent

Salary and Other Compensation:

The annual salary for this position is between $[95,000- 130,000] depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: • Medical/Dental/Vision/Life Insurance • Paid holidays plus Paid Time Off • 401(k) plan and contributions • Long-term/Short-term Disability • Paid Parental Leave • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Job title: Google Cloud Data Engineer(Remote)

Job summary

Experience in Loading and manipulating large data sets using GCP Hadoop Hive Pyspark

Should have experience migrating hadoop hive pipelines to GCP Bigquery

Should have knowledge migrating pysprak application from onpremises into Google cloud

Should have strong knowledge on Google cloud composer dataproc Cloud SQL Google BigQuery Hadoop Hive Pyspark Python

Experience: 10to14yrs+

Must haveTechnical Skills- Google Cloud,Apache Spark Hive BigQuery

Nice to have skills: Python Unix Shell Scripting PySpark Cloud SQL Google BigQuery

Roles & Responsibilities

Loading and manipulating large data sets using GCP Hadoop Hive Pyspark

Migrate hadoop hive pipelines to GCP Bigquery

Migrate pysprak application from onpremises into Google cloud

Possess strong knowledge on Google cloud composer dataproc Cloud SQL Google BigQuery Hadoop Hive Pyspark Python

Prepare implementation plan as per the need and build the in scope applications in Big Data technologies .

Responsible for all technical deliveries of project Good understanding of Agile & DevOps methodology.

Good Communication skills

Primary Location: Hartford - CT

Qualifications

Technical Skills

SNo Primary Skill Proficiency Level * Rqrd./Dsrd. 1 Google BigQuery PL4 Required 2 Cloud SQL PL1 Desired 3 PySpark PL1 Desired 4 BigQuery PL1 Desired 5 Apache Spark PL1 Desired 6 Hive PL1 Desired 7 Python PL1 Desired 8 Unix Shell Scripting PL1 Desired

* Proficiency Legends

Proficiency Level Generic Reference PL1 The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels. PL2 The associate possesses working knowledge of the skill, and can actively and independently apply this skill in engagements and projects. PL3 The associate has comprehensive, in-depth and specialized knowledge of the skill. She / he has extensively demonstrated successful application of the skill in engagements or projects. PL4 The associate can function as a subject matter expert for this skill. The associate is capable of analyzing, evaluating and synthesizing solutions using the skill.