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Data Engineer

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: Insemi Technology Services Pvt. Ltd.
Full Time position
Listed on 2026-03-05
Job specializations:
  • IT/Tech
    Data Engineer, Big Data
Job Description & How to Apply Below
Location: Bengaluru

Job Title:

Senior Data Engineer
-Vertica+Copilot

Experience:

5–8 Years

Location:

Bangalore (Hybrid)
Notice Period:  Immediate to 20 Days (0–30 days preferred)

Role Overview
We are looking for a highly skilled  Senior Data Engineer / AI Developer Copilot  with strong expertise in  Vertica and distributed data engineering technologies . The ideal candidate will be responsible for designing, developing, and optimizing high-volume data pipelines while supporting AI-driven data platforms. This role requires hands-on experience with large-scale data processing, performance tuning, and distributed systems.

Key Responsibilities
Design, develop, and optimize  high-volume, high-performance data pipelines .
Work extensively on  Vertica database design, SQL optimization, and performance tuning .
Develop and maintain efficient  ETL workflows  for structured and unstructured datasets.
Implement scalable data solutions using  distributed programming concepts .
Write production-grade code using  Python  and  Shell scripting .
Integrate and manage  No

SQL and caching systems  such as Redis and Cassandra.
Perform database performance analysis and query optimization.
Collaborate with cross-functional teams including Data Scientists, AI Engineers, and stakeholders.
Ensure data quality, integrity, and reliability across platforms.
Participate in architecture discussions and recommend best practices.
Mandatory Skills
Strong expertise in  Vertica  (database architecture, performance tuning, query optimization).
Hands-on experience in  Python programming  for data engineering.
Advanced  SQL  skills.
Experience in  Shell scripting .
Good understanding of  ETL processes and tools .

Experience with  Redis  (caching mechanisms).

Experience with  Cassandra  (large-scale distributed storage).
Knowledge of  Scala  is preferred.
Strong understanding of  distributed systems and big data architecture .

Preferred Qualifications
Experience working in enterprise-level data environments.
Exposure to AI/ML data pipelines and Copilot-based solutions.
Familiarity with CI/CD pipelines and Dev Ops practices.
Ability to troubleshoot performance bottlenecks in large data systems.
Strong analytical and problem-solving skills.
Soft Skills
Excellent written and verbal communication skills.
Strong analytical and logical thinking abilities.
Ability to work independently in a hybrid model.
Good stakeholder management skills.
Experience Level
5–8 years of relevant experience in Data Engineering / Data Platforms.
Proven experience in handling large datasets and distributed environments.
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