DEVELOPER L3(CONTRACT)

Wipro; Leinster; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

Wipro Limited is seeking a Data Engineer II to contribute to data management for Test & Learn and other services products. You will develop robust data pipelines, implement scalable data solutions, and collaborate with cross-functional teams in small, flexible groups.

Responsibilities include ETL process design, data delivery across multiple clients, SQL optimization, and driving best practices. This role requires collaboration with analytics and business stakeholders and adherence to internal

Qualifications

• Experience in data engineering concepts and methodologies.
• Strong SQL skills and optimizing queries for data retrieval and analysis.
• Experience with Microsoft SQL Server and relational databases.
• Ability to design, implement, and maintain ETL pipelines.
• Experience with Databricks and Spark.
• Familiarity with productivity tools such as GitHub Copilot.
• Ability to analyze and troubleshoot data issues with minimal supervision.
• Excellent written and verbal communication skills.

Responsibilities

• Support the design, implementation, and maintenance of enterprise ETL processes for data platforms, for a global client base.
• Assist in the data delivery process, working alongside Data Engineers and Analysts to support on-time, accurate, high-value, and robust data solutions across multiple clients and industry sectors.
• Use SQL and other database technologies to optimize data processing. Develop scalable and efficient code to reduce the time required to handle large data sets.
• Partner with analytics and business stakeholders to understand business questions and translate them into data requirements.
• Learn and apply industry best practices, such as version control, code reviews, and data validation, to ensure quality in data processes.
• Participate in efforts to design streamlined processes to automate routine data tasks.
• Build trust-based working relationships with peers and clients across local and global teams. Collaborate with senior and peer engineers on multiple projects in parallel.
• Comply with all Mastercard internal policies and adhere to external regulations.

Skills

Data engineering concepts

SQL query optimization

ETL design and maintenance

Analytical thinking

Communication skills

Education

Bachelor's degree in a quantitative discipline

Tools

Databricks

Spark

Microsoft SQL Server

GitHub Copilot

Job description

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Dublin 3 days a week

Client is seeking a Data Engineer II to contribute to the data management aspects of client engagements for Test & Learn and other Services products. In this role, you will develop robust data pipelines, implement scalable data solutions, and collaborate with cross-functional teams. Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features.
The Test & Learn team aims to build industry-leading business experimentation software that brings sophisticated analytic techniques to business users around the world. We are rapidly expanding our product offerings and innovating on how we deliver Test & Learn solutions to our clients.
Role:

• Support the design, implementation, and maintenance of enterprise ETL processes for data platforms, for a global client base.
• Assist in the data delivery process, working alongside Data Engineers and Analysts to support on-time, accurate, high-value, and robust data solutions across multiple clients and industry sectors.
• Use SQL and other database technologies to optimize data processing. Develop scalable and efficient code to reduce the time required to handle large data sets.
• Partner with analytics and business stakeholders to understand business questions and translate them into data requirements.
• Learn and apply industry best practices, such as version control, code reviews, and data validation, to ensure quality in data processes.
• Participate in efforts to design streamlined processes to automate routine data tasks.
• Build trust-based working relationships with peers and clients across local and global teams. Collaborate with senior and peer engineers on multiple projects in parallel.
• Comply with all Mastercard internal policies and adhere to external regulations.

All About You:

• Experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and methodologies, including data modeling and database design to support scalable data solutions.
• Strong knowledge of writing and optimizing SQL queries to retrieve, manipulate, and analyze data efficiently.
• Experience with Microsoft SQL Server and relational databases.
• Ability to design, implement, and maintain ETL pipelines.
• Experience with Databricks and Spark
• Experience with productivity tools such as GitHub Copilot
• Ability to innovate, think critically, and break down problems.
• Ability to handle tasks on multiple projects and navigate competing priorities.
• Ability to analyze and troubleshoot data issues and provide solutions with minimal supervision.
• Basic knowledge of testing and validating data to ensure accuracy and consistency in data pipelines.
• Excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely to both technical and non-technical stakeholders.

Bachelor's degree in a quantitative discipline such as Engineering, Mathematics, Finance, Business, or a related field. Equivalent practical experience may also be considered

Mandatory Skills: DataBricks - Data Engineering.Experience: 3-5 Years.Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

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