25/08 Sheel Jena
HR Manager at Landmark Group

Views:179 Applications:24 Rec. Actions:Recruiter Actions:2

Landmark Group - Big Data Architect (8-15 yrs)

Bhubaneshwar Job Code: 843018

Job Responsibilities

- Create and maintain optimal data pipeline architecture for Data extraction and transformation based on source system configurations and Data Warehouse staging requirements

- Build the capabilities required for optimal extraction, transformation and loading of data from a variety of data sources using Java (Spring Boot / Spring batch ) SQL, Python, Google Big Query and other Big Data technologies

- Works with Cloud based tools (Google GCP, Big Query, Dataproc, Composer, Steamsets, Looker, etc.) to deliver best-in-class cloud based data solutions

- Engineer & model curated and keyed Data Warehouse solutions that meet business objectives that perform efficiently and effectively

- Works in Agile product management method, managing tasks & objectives (user stories) through JIRA and providing updates to SCRUM master

- Partners with Product Manager (PO) to understand business requirements across multiple functional areas; Store Operations, Merchandising, Supply Chain, Finance, Digital, Customer & Loyalty, Legal, & Data Science


- Bachelor or Master Degree in Computer Science, Software Engineering, Matehmatics

- 9+ Years of experience in technical design, software development and architecture at the backend side involving scalable and available platform

- Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments

- Experience working with technical customers

- Experience working with big data solutions leveraging GCP Big Query and Cloud Dataflow

- Preferred GCP Data Engineer Certification

- Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript

- Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform

- Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, MongoDB, SparkML, Tensorflow)

Women-friendly workplace:

Maternity and Paternity Benefits

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