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IT Services, Software Development, Consulting

Sr. Data Engineer

Pennington, New Jersey, United StatesHybridFull TimeSeniorPosted 2 months agoVisa sponsorship available

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Role summary

We are seeking a Senior Real-Time Data Engineer / Feature Lead with expertise in Kafka (KStreams/KTable) and NoSQL databases like Redis. This role involves designing and developing scalable real-time data processing solutions, working with streaming data pipelines, and ensuring high performance and reliability. The candidate will collaborate with cross-functional teams and contribute as an individual contributor while also leading key initiatives. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is required, along with a minimum of 5 years of industry experience, including at least 3 years in Big Data/real-time data processing. Proficiency in Python, Scala, Java, and Bash/Shell scripting, along with a strong understanding of distributed systems, is essential.

Role:
Sr. Data Engineer – Kafka/KStreams

Location:
Pennington, NJ (3 Days Onsite/Week)

Type:
Full-Time

10+ years experience in IT domain ? Please dont apply if you have less than 10+ years

Job Description

We are actively seeking a talented and motivated
Senior Real-Time Data Engineer / Feature Lead
to join our dynamic and fast-paced team.

The ideal candidate will bring strong technical expertise in
real-time data processing technologies
such as
Kafka (KStreams/KTable)
and
NoSQL databases like Redis
. This role requires close collaboration with both onshore and offshore teams.

As an individual contributor, you will work across one or more teams while also having the opportunity to
lead end-to-end solution design and delivery
, depending on project scale and complexity.

Key Responsibilities

- Design and develop scalable
real-time data processing solutions
- Work with
Kafka (KStreams/KTable)
for streaming data pipelines
- Collaborate with cross-functional teams (onshore/offshore)
- Contribute as an individual contributor while also leading key initiatives
- Ensure high performance, scalability, and reliability of data systems

Required Skills & Qualifications

- Bachelor’s or Master’s degree in
Computer Science, Engineering, or related field
- Minimum
5+ years of industry experience
, with at least
3+ years in Big Data / real-time data processing
- Strong hands-on experience with
Kafka (KStreams, KTable)
- Experience with
NoSQL databases
such as
Redis, MongoDB, or HBase
- Proficiency in
Python, Scala, Java, and Bash/Shell scripting
- Strong understanding of
distributed systems, data partitioning, and fault-tolerant architectures
- Excellent problem-solving and analytical skills
- Ability to deliver solutions for
business-critical applications

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