X455 IN_ADVISORYQAENGINEER - DIA

X455 IN_ADVISORYQAENGINEER - DIA

15 Feb
|
Pitney Bowes
|
Pune Division

15 Feb

Pitney Bowes

Pune Division

Pune, Maharashtra

4+ years experience

Join Pitney Bowes as Advisory QA Engineer

Years of Experience required- 6 -8+ years

Job Location-Pune


The Job


Must to have:


- Test Lead Responsible for the development andintegration of new or existing applications into the technical infrastructureand existing business processes.

- QA experience on solutions developed with target of data (could be) from below: S3, Kafka, Snowflake, Spark, Scala, Python, Java, SparkSQL or MongoDB.
- Have performed QA for Apache Kafka based data streaming applications.
- Strong experience in data migration project experience & migration testing.
- Effectively utilizes standard enterprise tools to test solutions developed involving:



AWS data streaming and big data technologiessuch as Amazon Kinesis, AWS Lambda, Amazon Simple Queue Service (AmazonSQS), Amazon Simple Notification Service (Amazon SNS), and Amazon SimpleWorkflow Service (Amazon SWF)

- Evaluate and incorporate new technologies into new andexisting frameworks and solutions as applicable

- Define test strategies and planning for new data integration solutions with a focus on performance, reliability, durability, data quality and SLA expectations.

- Provides technical or functional guidance toproject or work teams as needed within a specific discipline Be agile andembrace change

- Works in an agile team and collaborates on anongoing basis with other team members Analyzes designs develops tests debugsimplements maintains and or enhances existing or new systems that are reliableand efficient

- Candidate should have a passion for learningbuilding new products and strong teamwork

- Candidate should have good Verbal Writtencommunication with Onsite and Offshore teams * Proficiency Legends


Good to have


- ApacheKafka or Confluent & Kafka Connect

- Informatica& Talend ETL knowledge


Qualifications

- UG - B.Tech/B.E. OR PG – M.S./ M.Tech from REC orany other reputed institute

- 6+ years’ experience with Big Data, Hadoop, andProven experience in QA automation.

- Some experience withmid-back-end QA development/ETL

- Experience testing withHadoop and Hadoop app scripting

- 4+ years’ experience with theHadoop stack (Pig, Hive, Spark etc), unix experience

- Knowledge of NoSQL platformssuch as Hbase, Mongo or Cassandra is preferred


The Team


Ourpassionate and ambitious team delivers innovations that help clients navigatethe complex and always evolving world of commerce: from helping, them use datato market to the best customers, to enabling the sending of parcels andpackages efficiently, to securing payments through statements andinvoices.


Ourglobal Innovation team is dedicated to using the best-in-class tools, processesand modern architectures to create great experiences for our clients. In arapidly changing world, we have a clear technical vision for our future thatincludes SaaS, APIs, Big Data, Advanced Analytics, Mobile and the Internet ofThings. We are also focused on creating great client experiences, utilizing aDesign Thinking platform and approach.


Helpingclients achieve their greatest commerce potential are Pitney Bowes' 14,000+passionate employees around the world, our relentless pursuit of innovationwith over 2,300 active patents, and our focus on clients, who are at the centerof all that we do - from small businesses to 90% of the Fortune 500.


Ineverything, we do, we deliver accuracy and precision to drive meaningfulimpact.


PitneyBowes is an Equal Employment Opportunity/Affirmative Action Employer thatvalues diversity and inclusiveness in the workplace.


Few interestingvideos about Pitney Bowes:

Who we are

PitneyBowes India 10 years journey

PitneyBowes, Great Place to Work

Lifeat Pitney Bowes

PitneyBowes Diversity

The original job offer can be found in Kit Job:
https://www.kitjob.in/job/16206660/x455-in_advisoryqaengineer-dia-pune-division/?utm_source=html

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