Data Engineer

1 month ago

Bangalore, India Valiance Analytics Pvt. Ltd. Full time

About Valiance Analytics Pvt. Ltd.

Valiance Analytics Pvt. Ltd. is a global AI & Data analytics firm helping clients build cutting-edge technology solutions for digital transformation. We work with some of the marquee brands across India, US and APAC to build transformative solutions for Credit Risk, Fraud, Predictive Maintenance, Quality Inspection, Data lake, IOT analytics etc. Our team comprises 100+ professionals across Machine Learning, Data Engineering & Cloud expertise

Key Responsibilities For This Role :

- Develop, configure, deploy, and optimize Microsoft Azure based Data solutions.

- Collaborate with other team members to develop and enhance deliverables.

- Continuously improve team processes to ensure information is of the highest quality, contributing to the overall effectiveness of the team.

- Stay abreast of industry changes, especially in the areas of cloud data and analytics technologies.

- Ability to simultaneously work and deliver on more than one project on Individual contributor role

- Ability to work on multiple areas like Data pipeline ETL, Data modelling & design, writing complex SQL queries etc.

- Capable of planning and executing on both short-term and long-term goals individually and with the team.

- Partner with other Data Engineers, Data architects, domain experts, data analysts and other teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self- service

Requirements :

- 5+ years of experience designing, developing, Architecture and deploying data solutions using Power BI, Azure platform.

- Experience on designing Data pipelines (ETL/ELT), Datawarehouse and Data marts

- Hands-on expert with real-time data processing and analytics, data ingestion (batched and streamed), and data storage solutions

- Hands on Azure Analysis Services & Power BI and good to have experience on other tools

- Hands on experience with Data Factory, Data Lake Storage, Databricks, Data Explorer, Machine Learning, and Azure Synapse Analytics is good to have.

- Expert at creating data dissemination diagrams, data flow diagrams, data lifecycle diagrams, data migration diagrams, and data security diagrams etc.

- Hands on experience with one of the data presentations tools like PowerBI, Tableau etc

- A proven expert in writing optimized SQL to deal with large data volumes.

- Hands on coding in Python along its main data libraries like Pandas, Numpy, Beautiful soup etc

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