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Data Engineer

1 month ago

Bangalore Urban, India NexionPro Services Full time
Job Description – Senior Data Engineer (6+ Years, PySpark & AWS)Experience required- 6 to 10 years

We are seeking a

Senior Data Engineer

with

6+ years of experience

in

big data processing and real-time streaming . The ideal candidate will have strong expertise in

PySpark ,

Apache Spark , and

AWS-based data pipelines , with hands-on experience in

real-time streaming frameworks

such as

Kafka, kSQL, and MirrorMaker .

Key Responsibilities:Design, develop, and optimize

real-time/streaming data pipelines

using

Apache Spark, Amazon EMR, and Apache NIFI .Implement

ETL processes

for data ingestion, transformation, and storage in

AWS environments .Work with

Kafka Framework (kSQL, Mirror Maker, etc.)

for real-time data streaming.Write efficient, scalable, and maintainable

PySpark/Java/Groovy

code for large-scale data processing.Apply

data structures and ETL best practices

to optimize

data storage

and retrieval.Develop

near real-time data processing solutions

using

AWS cloud services .Monitor and troubleshoot data pipelines to ensure

high availability and reliability .

Technical Skills & Requirements:PySpark (Python API for Apache Spark)

– Must have hands-on experience.Kafka Framework (kSQL, Mirror Maker, etc.)

– Experience in handling streaming data.Programming:

Proficiency in at least one language –

Python, Groovy, or Java .ETL & Data Storage:

Strong knowledge of

data structures, ETL design, and storage solutions .AWS Services:

Experience working with

Amazon EMR, Apache Spark, Apache NIFI, or similar frameworks .Streaming Data Processing:

Hands-on experience building

real-time/near real-time data pipelines .

Preferred Qualifications:Experience with

cloud-based big data solutions

and distributed computing.Strong problem-solving and analytical skills.Ability to work in a

fast-paced, streaming data environment .