Data Engineer requirement.

Details:

Job Description

Stefanini Inc. ('Stefanini') is a global technology company providing a full-service of onshore, nearshore, and offshore services; systems integration/development and consulting; and strategic staffing services to Fortune 1,000 enterprises worldwide. Stefanini is a leader in Workplace Services, Infrastructure Outsourcing, Application Services, and BPO. We work with our Customers to digitally transform their business for today's dynamic environment.

Today, Stefanini's global presence spans across four (4) continents, 41 countries with 70 offices and more than 38,000 employees speaking 44 languages.

Job Requirements

Details:

Role and Responsibilities:

• 5-9 years of experience in Data Engineering, or related roles.
• Hands-on experience with Python/SQL.
• Design and implement data solutions using Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake
• Drive best practices in data engineering, data modeling and data integration to ensure the reliability, scalability, and performance of data solutions.
• Excellent oral and written communication skills with ability to independently engage all stakeholders onsite and offshore
• Good data analytical skills to analyze data and understand business requirements.
• Strong prioritizing, interpersonal, problem-solving, task management (from conception to completion), & planning skills.
• Excellent knowledge of SQL for performing data analysis and performance tuning
• Ability to write highly optimized SQL queries for complex requirements
• Ability to test and document end-to-end processes
• Strong understanding of SDLC and best development practices.
• Experience in Agile/Scrum methodologies and project management tools such as Jira.
• Certifications in relevant cloud technologies (preferably Azure) are a plus.
  
  

Required Skills (Good To Have)

• Data modeling and SQL Scripting
• Experience of ETL tools, preferably SSIS
• Talk to Business and work on requirement gathering
• Get a functional understanding of requirements and create business requirement documents
• Responsible for designing relational and non-relational data stores on Azure.
• Responsible for designing and developing solutions in Azure big data frameworks/tools: Azure Data Lake, Azure Data Factory, Azure Data Bricks, Synapse, SQL Server, HDInsight.
• Gather and process raw data on a scale that meet functional / non-functional business requirements (including writing scripts, REST API calls, SQL Queries, etc.)
• Responsible for developing data set processes for data modeling, mining and production.
• Responsible for supporting our Software Developers, Data Analysts and Data Scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Develop complex SQL queries in Azure SQL.
• Mentor and guide junior team members to get deliverables complete.
• Participate in defining best practices around Data models development and deliverables.
• End to end delivery of any project including Business communication, development, testing, migrations, support, user training and documentation.
• Responsible for query/reports performance tuning
• Identify, analyze, and interpret trends or patterns in complex data. Transform analyses into concrete, actionable recommendations to drive decision-making.
  
  

Desired Skills:

• Experience of working in team culture based environment.
• Advanced analytical thinking and problem-solving skills.
• A “Get it done” attitude.
• Experience with answering and resolving key user support questions and requests.
• Superior Communication and Business-Technical Interaction skills.
• Fluent written and spoken English.
  
  

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