Niveus Solutions

Description :- Builds end-to-end data applications.- Integrating backend APIs with analytical front-ends.- 3+ yrs of IT experience.- Good understanding of analytics tools for effective analysis of data.- Ability to learn new tools and technologies.- Should have worked on anyone Structural (SQL/Oracle/Postgres) and one Nosql Database.- Should have very good understanding of DW, Data Mart and Data modelling Concepts.- Should be part of a Data Warehouse design team at least in one project.Roles & Responsibilities : - Develop high performance and scalable solutions using GCP that extract, transform, and load big data.- Designing and building production-grade data solutions from ingestion to consumption using Java / Python.- Design and optimize data models on GCP cloud using GCP data stores such as BigQuery.- Optimizing data pipelines for performance and cost for large scale data lakes.- Writing complex, highly-optimized queries across large data sets and to create data processing layers.- Closely interact with Data Engineers to identify right tools to deliver product features by performing POC.- Collaborative team player that interacts with business, BAs and other Data/ML engineers.- Research new use cases for existing data.Preferred Skills :- Need to be Aware of Design Best practices for OLTP and OLAP Systems.- Should have exposure to Load testing methodologies, Debugging pipelines and Delta load handling.- Creation of Dag File using Python and SQL for ETL.- Having experience in Exploratory analysis of log.- Apache Beam developer with Google Cloud BigTable and Google BigQuery is desirable.- Experience in Google Cloud Platform (GCP).- Skills in writing batch and stream processing jobs using Apache Beam Framework (Dataflow).- Experience with Spring Boot.- Knowledge of Microservices, Pub/Sub, Cloud Run, Cloud Function. (ref:hirist.tech)