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Sr. Azure Data Engineer

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Date: Jun 23, 2022

Location: Pune, MH, IN

Company: NTT DATA Services

"Job Description
A Data Engineer is an IT expert that enables data-driven decision making by collecting, transforming, and publishing data. In NTT Data, a Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance, scalability and efficiency, reliability and fidelity, flexibility, and portability. The main mission of a Data Engineer is to turn raw data into information creating insight and business value. 

Responsibilities
•    Build large-scale batch and real-time data pipelines with data processing frameworks in Azure cloud platform
•    Use an analytical, data-driven approach to drive a deep understanding of fast changing business.
•    Work with the team to evaluate business needs and priorities, liaise with key business partners and address team needs related to data systems and management.
•    Participate in project planning; identifying milestones, deliverables, and resource requirements; tracks activities and task execution.
Soft skills
•    Communication skills – Should be good in Written/Oral English communication.
•    Collaboration - need to understand the expectations of the teams they’re working with, how frequently they need to be updated, and what their pain points are and help solve them. In team, come up with better ideas to collaborate.
•    Presentation skills - Engineers should possess good presentation skills along with data analysis and present their findings to stakeholders. Using tools like MS office - PPT, excel etc...

Requirements
•    Bachelor’s degree in Computer Science, Computer Engineering, or relevant field.
•    8+ years’ experience in a similar role.
•    Expertise as a software engineering using Scala/Java/Python 
•    Experience in Advanced SQL skillset - preference on using Azure Synapse, Azure Dataverse etc...
•    Experience in Azure Data Lake, Azure Data Factory, SQL Data Warehouse, Azure Blob, Azure Storage Explorer
•    Proficient in creating Data Factory pipelines for on-cloud ETL processing; copy activity, custom Azure development etc.
•    Experience in Azure Data Catalog, Event Grid, Service Bus, SQL and Synapse
•    Good technical knowledge in SQL Server BI suite (ETL, Reporting, Analytics, Dashboards) using SSIS, SSAS, SSRS, Power BI
•    Strong knowledge of data technologies and data modeling.
•    Expertise on building modern, cloud-native data pipelines and operations, with an ELT philosophy.
•    Experience with Data Migration / Data Warehouse.
•    Intuitive thinking of how to organize, normalize, and store complex data, enabling both ETL and end users.
•    Passion for mapping and designing ingestion and transformation of data from multiple sources, creating a cohesive data asset.
•    Good understanding of developer tools, CICD etc.
•    Excellent communication, empathetic with end users and internal customers.

Nice-to-have:
•    Azure Cloud Data Engineer Certification 
•    Experience using Big Data echo system Hadoop, Hive, HDFS, Hbase
•    Experience with Agile methodologies and DevOps principles.

What we look for
•    Passion. Staying ahead of the curve, solving tough problems. That is hard to do without a genuine passion for technology and conviction in your ideas. 
•    Curiosity. We aim to solve hard business problems, using the latest technology and research. Curiosity is key in providing fresh perspective and generating new approaches. "


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