Sr. Data Engineer

About Navikenz :-

Navikenz is a seed-funded start-up in thze IT-Consulting and Services space, delivering transformative solutions across Business Transformation, Enterprise Technology Strategy, and Product Engineering domains. We are working with CDOs, CIOs, and CTOs of Fortune 100 companies in US, Europe and India to discover and implement high-performance Artificial Intelligence solutions.

Navikenz differentiates itself and drives impact with a pod-driven approach, comprising teams of domain-led business consultants, enterprise architects, and change management experts who work in collaborative, non-hierarchical teams. We engage at all points of the AI-value chain, from strategic direction setting, roadmaps, technology solutioning, product engineering, and managed services.

Our values define our culture. At Navikenz, are creating a differentiated workplace where -

· there is no hierarchy, employees come together as pods to solve problems

· there are virtual first, hybrid ways of working, with an ability to define flexible work schedules

· workplace is open, transparent and encourages healthy debate, and diversity of thoughts

· a vacation policy which encourages work-life balance

· family and well-being are given the most importance

· there is a focus on learning

Responsibilities

· Analyzing business and system requirements and define optimal data pipeline design for fulfilling them.

· Building scalable, performant, supportable and reliable data pipelines

· Ability to work on and optimize data systems as well as building them from the ground up

· Building scalable, performant, supportable and reliable data pipelines

· Ability to optimize data systems as well as building them from the ground up

· Defining and implementing DevOps framework using CI/CD

· Setting up new, and monitoring of existing metrics, analyzing data, and in cooperation with other Data & Analytics team members identifying and implementing system and process improvements

· Supporting collection of the metadata into our data catalogue system where all available data is maintained and cataloged

· Working closely with data architects, data analysts and other data warehouse engineers and data scientists

· To collaborate across different teams/geographies/stakeholders/levels of seniority

· Work with team in agile development methodology

· Have Customer focus with an eye on continuous improvement

· Supporting Agile way of working using SCRUM framework

· To collaborate across different teams/geographies/stakeholders/levels of seniority

· Have Customer focus with an eye on continuous improvement

Qualifications/Experience

The ideal candidate will have a Bachelor's, Master's Degree in Computer Science with at least 3 years of professional experience working on data sets and building data pipelines, and familiar with the following software /tools/techniques:

· Programming skills in Python/Pyspark.

· Expert SQL knowledge and experience with relational databases, query authoring (SQL), as well as working familiarity with a variety of databases

· Ability to develop, maintain and distribute the code in modularized fashion

· Experiences with Data Lake/Big Data Projects implementation, building data pipeline in Cloud and/or On-premises platforms:

o Cloud technology stack: AWS, Azure or GCP, Databricks(proven experience is a big plus) Data pipeline, Data Transformation, Data Storage, Data Quality Management, DevOps

· Experience data pipelinekeeping DevOps framework in mind

· Basic knowledge on Data Warehousing concepts for large complex data sets – defining, building, and optimizing data models based on use case requirements

· Good understanding of Software Development Lifecycle, source code management, code reviews, etc.

· Experience in performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

· Energetic, enthusiastic, and results-oriented personality

· Motivation and ability to perform as a consultant in data engineering projects

· Ability to work independently but also within a Team

· Strong will to overcome the complexities involved in developing and supporting data pipelines.

Company Website:

LinkedIn:-

Job Type: Full-time

Pay: ₹5.00 - ₹15.00 per year

Work Location: Hybrid remote in Noida