Data Engineer

Role

Snowflake Architect

Required Technical Skill Set

·        4-8 years of total experience and at least 3+ years of expertise in Cloud data warehouse technologies on Snowflake and AWS, Azure or GCP. 

·        At least one End-to-end Snowflake implementation is a must covering all aspects including architecture, design, data engineering, data visualization and data governance (specifically data quality and lineage). 

·        Significant experience with data migrations and development of Operational Data Stores, Enterprise Data Warehouses and Data Marts. 

·        Good hands-on knowledge on SQL and Data Warehousing life cycle is an absolute requirement. 

·        Significant experience with data migrations and development, design, Operational Data Stores, Enterprise Data Warehouses and Data Marts. 

·        Experience with cloud ETL and ELT in one of the tools like DBT/Glue/ADF or Matillion or any other ELT tool and exposure to Bigdata ecosystem (Hadoop). 

·        Expertise with at least one of the Traditional data warehouses solutions on Oracle, Teradata, and Microsoft SQL server. 

·        Excellent communication skills to liaise with Business & IT stakeholders. 

·        Expertise in planning execution of a project and efforts estimation. 

·        Understanding of Data Vault, data mesh and data fabric architecture patterns. 

·        Exposure to working in Agile ways of working. 

Position: Dot Net Developer

Job Title: Junior Software Engineer

Experience: 0 to 2 Years

Key Skills:

• Programming Languages: C# or VB.NET
• Server-Side Technologies: ASP.NET / MVC
• Front-End Technologies: Html5, ES5/ES6/ JavaScript, CSS, jQuery, Bootstrap, Ajax, Web Sockets
• Database: SQL Server

Knowledge on below concepts/technologies is an added advantage

            - Cloud Platforms: Azure / Google

            - NodeJS, Mongo DB

            - Redis, RabitMQ, MQTT, Kafka

            - Concept of Continuous Integration / Continuous Deployment

Key Deliverables: Writing codes as per the requirement.

Job Description :

• Develop new user-facing features using ReactJS.
• Collaborate with product managers and designers to translate design mockups and wireframes into functional components.
• Build reusable components and libraries for future use.
• Optimize components for maximum performance across different devices and browsers.
• Ensure the technical feasibility of UI/UX designs and provide feedback on design feasibility.
• Participate in code reviews to maintain code quality, readability, and consistency.
• Collaborate with back-end developers to integrate front-end and back-end components seamlessly.
• Stay up-to-date with the latest trends and best practices in front-end development and ReactJS.
• Troubleshoot and debug issues that arise during development and in production.
• Actively contribute to improving development processes and workflows.
• Active knowledge of node and npm
• Proficient understanding of ReactJS and its core principles.
• Strong experience in JavaScript, HTML5, and CSS3.
• Familiarity with RESTful APIs and asynchronous programming.
• Knowledge of state management libraries such as Redux.
• Understanding of version control using Git.
• Familiarity with front-end build tools and pipelines, such as Webpack or Babel.
• Knowledge of testing frameworks such as Jest, Enzyme ably AWS

Expertise in developing SAPUI5 applications using ADT(Eclipse)/Web IDE, JQuery, Java Script,XML,HTML5 & CSS3 And consuming the data by using Net weaver gateway services

• Expertise in developing NetWeaver gateway services(SEGW)

• Expertise in Integrating Gateway OData/JSON services with UI5 Apps, System Landscape, Architecture, SSO, Security Set Up and Gateway Configuration

• Fiori Package Configuration on SAP Gateway & Backend ECC App Configuration

• Customization & Extension of Fiori Apps

• Drive the System Landscape, Architecture, Security, Users Set Up

• Configure Gateway & Fiori Infrastructure (with support from Basis Team)

• Fiori App Configuration ( SAP Gateway & S/4HANA System)

• Work with Functional and Technical Resources in Setting up the S/4HANA Backend

• Set User Roles, Profiles, Apply Notes & Fixes in ABAP Systems

• Roll out Apps to Business Users for Testing

• Expertise in coding for consuming data for UI5 Apps through Netweaver Gateway OData/JSON services.

• Expertise in extending OData service/OData models

• Expertise in customizing/Extending the standard Fiori Apps

• Expertise in creating HANA Schemas, Packages, Attribute Views, Analytical Views, Calculation Views with HANA LIVE, Attribute mapping, creation of calculated measures, Calculated attributes, Input parameters, Variables, Restricted measures, Constant columns, Currency Unit conversion, stored procedures and maintaining analytical privileges, and involved in Data Provisioning using SLT and BODS(data services) meta data import. Involved in Export/Import of models, validations.

• Expertise in using AMDP, CDS views, ADBC, External views

• Should act as a technical resource for the Data Science team and be involved in creating and implementing current and future Analytics projects like data lake design, data warehouse design, etc.
• Analysis and design of ETL solutions to store/fetch data from multiple systems like Google Analytics, CleverTap, CRM systems etc.
• Developing and maintaining data pipelines for real time analytics as well as batch analytics use cases.
• Collaborate with data scientists and actively work in the feature engineering and data preparation phase of model building
• Collaborate with product development and dev ops teams in implementing the data collection and aggregation solutions
• Ensure quality and consistency of the data in Data warehouse and follow best data governance practices
• Analyse large amounts of information to discover trends and patterns
• Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.\

• Bachelor’s or Masters in a highly numerate discipline such as Engineering, Science and Economics
• 2-6 years of proven experience working as a Data Engineer preferably in ecommerce/web based or consumer technologies company
• Hands on experience of working with different big data tools like Hadoop, Spark , Flink, Kafka and so on
• Good understanding of AWS ecosystem for big data analytics
• Hands on experience in creating data pipelines either using tools or by independently writing scripts
• Hands on experience in scripting languages like Python, Scala, Unix Shell scripting and so on
• Strong problem solving skills with an emphasis on product development.
• Experience using business intelligence tools e.g. Tableau, Power BI would be an added advantage (not mandatory)

Quickly adapt to our startup environment which is both demanding and fast-paced (but is also a lot of fun)

Eager in learning new concepts, technologies and be productive in a short time

Convert a raw idea into usable real-life software products

Good understanding and working knowledge of technologies worked

Demonstrate good problem-solving skills

Write modular, readable, and maintainable code

Own and be able to manage a small to medium-sized project

Demonstrate the ability to guide and coach a new team member or fresher.