Data Engineer-Retail @ Exasoft

Job Description

About Loyalytics: Loyalytics is a fast-growing Analytics consulting and product organization based out of Bangalore. We work with large retail clients across the globe helping them monetize their data assets through our consulting assignments and product accelerators. We are a young dynamic team of 70+ analytics practitioners working on some of the most cutting-edge tools and technologies. Who we are: Technical team: A team full of data scientists, data engineers and business analysts who work with 1M+ data points every day. Market Size: Massive multi-billion $ global market opportunity. Leadership: Combined experience of 40+ years of experience in the industry Customers: Word-of-mouth and referral-driven marketing to acquire customers like big retail brands in GCC regions like Lulu, GMG, among others (Strong product-market fit). What makes us stand apart: 8 years old bootstrapped and 100+ people company that is still hiring. About The Job As a Data Engineer, you will. serve as the technical expert responsible for design and implementation of BI, Analytics, & Big Data solutions providing high-value, timely analytics, and data solutions to the larger product team. You will be responsible for verifying requirements, feasibility, estimation, defining design/architecture, developing an implementation plan, providing thought leadership for all data solutions, including designing data solutions that meets and exceed stakeholders expectations. Requirements Essential Technologies/Skills 1-3 years building Data Warehouse/Data Lake Architecture and Development 1-3 years Data Modelling & Flow and Architecture 1-3 years of on Cloud data solutions like Azure (preferred) Expertise in SQL, Python & Pyspark Building and operationalizing ETL/ELT Pipelines using custom and packaged tools such as Azure Data Factory, Airflow or equivalent Spark based platform such as Databricks, Hadoop experience Cluster configurations including scaling, pooling, memory, and cost optimizations Data prep, migration, analysis, gaps, visualization, auditing etc. RDBMS such as MS SQL server, Oracle, Aurora, PostgreSQL Essential Competencies Understanding of core business intelligence /data warehousing technology and best practices: RDBMS, Big Data, Client/Server, OLAP, ML Skills Experience leading a technical team Moderate experience with client engagement & aligning them to your ideas/solutions Ability to analyse, prepare statistical summary, high level insights and identify gaps in data Critically evaluate and control data quality, security, and privacy in all solutions Ability to clarify/translate requirements into Epics/Stories & remove ambiguity Strong documentation and structured communications are a must Ability to mentor other DE team members Ability to present and demo to groups/stakeholders of mixed technical ability Good to have DevOps tools such as Azure DevOps, Log Analytics, and monitoring NoSQL data platform such as Cosmos DB, Cassandra, Graph DB, etc. Messaging technologies such as Kafka, Event Hub etc. API and client development and deployment experience Experience integrating with BI technologies such as PowerBI, Tableau Benefits Be a part of the dynamic team, making an impact in the retail tech industry with clients like Lulu, Aster, GMG etc. Flexible Work Hours Access to various learning platforms

Employement Category:

Employement Type: Full time
Industry: IT
Role Category: IT Services & Consulting
Functional Area: Not Applicable
Role/Responsibilies: Data Engineer-Retail

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Keyskills:   SQL Python Airflow Hadoop MS SQL server Oracle PostgreSQL Pyspark Azure Data Factory Databricks Aurora