AI Developer Copilot - Vertica (Senior Data Engineer)

Educational Requirements

Bachelor of Engineering,Bachelor Of Technology,Master Of Technology,Master Of Engineering

Service Line

Engineering Services

Responsibilities

A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Additional Responsibilities:

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.

Technical and Professional Requirements:

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 NoSQL 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.

Preferred Skills:

Technology->Big Data - Data Store->Vertica