Senior Data Engineer IRC290554

Description

Our Client is a Fortune 500 company and is one of the biggest global manufacturing companies operating in the fields of industrial systems, worker safety, health care, and consumer goods. The company is dedicated to creating the technology and products that advance every business, improve every home and enhance every life. The product we are building is helping automotive repair centres in various aspects like inventory tracking, colision estimation, invoicing and analytics. On our project, the team is focusing on new functionality analysis and development, maintenance and rework of existing web applications.

Skills

• Azure

• Azure Cosmos DB

• Data Migrator

• Databases

• DB performance tuning

• NoSQL

• Pipeline Execution/ETL

• SQL

About GlobalLogic

• GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

What we offer

• Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

• Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

• DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

• Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

• Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

• Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

Experience

• 5-10 years

Requirements

• 3+ years of experience as a Data Engineer

• Knowledge and experience with: Python, SQL, Azure Synapse, Azure One Lake, Data Factory, and Spark jobs

• Experience with: NoSQL and MS SQL

• Experience in building Data Warehouse

• Awareness of data processing flowcharting, relational and dimensional data modeling as well as translation of logical models into physical models

• Hands-on experience with Azure and good knowledge of its sub-components and services as a plus

• Understanding of database structures, theories, principles and practices

• Working technical experience with configuring and supporting database systems

• Hands-on database tuning and troubleshooting experience (indexing, statistics and query optimizer)

• Experience with Agile projects

• Good understanding of Software Development Lifecycle

• Perfect communication and cooperation skills

• Upper-Intermidiate English (B2) or higher

Job responsibilities

• Implement Data Warehouse; using Data models and building the data pipelines in Azure Fabric

• Conduct research and make recommendations on database products, services, protocols and standards in support of procurement and development efforts

• Install and configure database components and ensure access, consistency and integrity

• Monitor, optimize and allocate physical data storage for all database systems

• Scaling, performance optimization

• #LI-MOGR #LI-REMOTE