Data Engineer

Your Job

i360 is seeking a Data Engineer to join its Data Engineering team.

With your technical expertise, you will architect, implement, and improve end to end pipelines, processes, procedures, and automation for all database-centric processes.

You will maintain our relational and NoSQL systems for performance and reliability.

You are responsible for tuning and configuring our databases and data platforms, as well as building tools and scripts to monitor, troubleshoot and automate our systems.

You mentor the junior and mid-level engineers on our team and help set standards, frameworks, and best practices.

Our Team

The Data Engineering team plays a central role in our organization, given our focus on data.

We collaborate closely with both our internal departments and external clients.

Our primary responsibility involves designing, building, and upkeeping data pipelines and APIs to provide data to other teams, enabling them to create their products on that data.

What You Will Do


* Design, architect, and build end to end SQL and NoSQL database solutions.

This includes determining business requirements, recommending technologies, architecting, developing code, mentoring team members, and overseeing QA and deployment processes.


* Load and process disparate data sets using technologies including but not limited to PostgreSQL, Elasticsearch, Snowflake, Spark, Java, and Python.


* Work with business users to translate requirements into system flows, data flows, data mappings etc., and develop solutions to complex business problems.


* Code applications that adhere to enterprise design patterns.


* Resolve technical issues through debugging, research, and investigation.

Who You Are (Basic Qualifications)


* BA/BS or Master's degree in Computer Science, Computer Engineering, Information Science or Data Science/Statistics


* Hands-on experience in data engineering, business intelligence, data modeling, building ETL pipelines and multi-dimensional data warehouses.


* Hands-on experience with and strong understanding of RDBMS concepts and query optimization.


* Strong coding experience in developing enterprise applications using Java and Python


* Understanding of DevOps/DataOps and CI/CD toolset such as git, GitLab CI, GitHub Actions.


* Experience building, scaling, and maintaining high volume systems.


* Experience analyzing large complex data sets to resolve data quality and performance issues.


* Experience mentoring a team of data engineers and helping set standards and frameworks.

What Will Put You Ahead


* Experience with Cloud system architecture and design, large scale streaming data processing


* Experience with Spring framework, AOP, JPA and REST


* Experience with building RESTful web services


* Experience with libraries like scikit-learn, keras and functional programming concepts.

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