DATA ENGINEERING CONSULTANT

DATA ENGINEERING CONSULTANT

About NutaNXT:

NutaNXT is a next-gen Software Product Engineering services provider building ground-breaking products using AI/ML, Data Analytics, IOT, Cloud & new emerging technologies disrupting the global markets. Our mission is to help clients leverage our specialized Digital Product Engineering capabilities on Data Engineering, AI Automations, Software Full stack solutions and services to build best-in-class products and stay ahead of the curve. You will get a chance to work on multiple projects critical to NutaNXT needs with opportunities to learn, develop new skills, switch teams and projects as you and our fast-paced business grow and evolve.

Job Description:

NutaNXT is looking for supporting the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments. Delivery of architectures for transformations and modernizations of enterprise data solutions using Azure cloud data technologies.
As a Data Engineering Consultant, you will collect, aggregate, store, and reconcile data in support of Customer's business decisions. You will design and build data pipelines, data streams, data service APIs, data generators and other end-user information portals and insight tools.

Roles and Responsibilities:

• Plan, build and implement data solutions based on DataBricks or other ETL Tools.
• Design and build Modern Data Pipelines and Data Streams
• Develop and Maintain Data Warehouse

• Design and create ETL processes supplying Data Warehouse
• Implement effective metrics and monitoring process
• Preprocess of structured and unstructured data, create queries in databases

Mandatory Skills:
• Experience working with Azure Databricks.
• Familiarity with PySpark
• Very good in communication, both verbal and written
• Mastery of SQL (T-SQL or PL SQL preferred)
• Knowledge of at least one component: Azure Data Factory, Azure Data Lake, Azure SQL DW, Azure SQL
• Experience with any programming language used for data engineering purpose: Python, Scala, R, Java etc.
• Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows
• Minimum experience of 8+ Years in the ETL & Data Engineering space.

Good to have Skills:
• Microsoft Certified: Azure Data Engineer
• Knowledge of the following components of Azure Analytics: Azure HDInsight with Spark, Azure Stream Analytics, Azure IoT Hub, or Azure Event Hub, Azure CosmosDB
• Experience preparing data for Data Science and Machine Learning

• Knowledge of Jupyter Notebooks or Databricks Notebooks for Python development

*Why Join Us? *
We offer Innovative work in AI & Data Engineering Space, with a unique, diverse workplace environment having a Continuous learning and development opportunities. These are just some of the reasons we're consistently being recognized as one of the best companies to work for, and why our people choose to grow careers at NutaNXT. We also offer a highly flexible, self-driven, remote work culture which fosters the best of innovation, creativity and work-life balance, market industry-leading compensation which we believe help us consistently deliver to our clients and grow in the highly competitive, fast evolving Digital Engineering space with a strong focus on building advanced software products for clients in the US, Europe and APAC regions.