ITI Data | PySpark Data Engineer

6 hours ago

Delhi, India ITI Data Full time
Location

:

IndiaType

: Full-timeExperience

: 10 – 13 yearsFunctions

: Consulting, Finance, Information Technology, Big Data EngineeringIndustries

: Capital Markets, Investment Banking, Alternative Investments, Financial Services, Management Consulting, Information Technology and Services, Healthcare

Job Description

We are looking for a PySpark solutions developer and data engineer that is able to design and build solutions for one of our Fortune 500 Client programs, which aims towards building a data standardized and curation needs on Hadoop cluster. This is high visibility, fast-paced key initiative will integrate data across internal and external sources, provide analytical insights, and integrate with the customer’s critical systems.

Key ResponsibilitiesAbility to design, build and unit test applications on

Spark framework on Python .Build PySpark based applications for both

batch and streaming

requirements, which will require in-depth knowledge on majority of

Hadoop and NoSQL

databases as well.Develop and execute

data pipeline

testing processes and validate business rules and policiesOptimize performance of the built Spark applications in Hadoop using configurations around

Spark Context, Spark-SQL, Data Frame, and Pair RDD's .Experience in

skilled in Hadoop, Kafka, Scala, Spark.Optimize

performance for data access

requirements by choosing the appropriate native Hadoop file formats ( Avro, Parquet, ORC etc ) and compression codec respectively.Ability to design & build real-time applications using

Apache Kafka & Spark Streaming Build

integrated solutions

leveraging Unix shell scripting, RDBMS, Hive, HDFS File System, HDFS File Types, HDFS compression codec .

Build

data tokenization

libraries and integrate with Hive & Spark for

column-level obfuscation Experience in processing large amounts of

structured and unstructured

data, including integrating data from multiple sources.Create and maintain integration and regression testing framework on

Jenkins

integrated with

BitBucket

and/or GIT repositoriesParticipate in the

agile development

process, and document and communicate issues and bugs relative to data standards in

scrum meetingsWork

collaboratively

with onsite and offshore team. Develop & review technical

documentation

for artifacts delivered.Ability to solve

complex data-driven

scenarios and triage towards defects and production issuesAbility to

learn-unlearn-relearn

concepts with an open and analytical mindsetParticipate in

code release

and production deployment

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