Data Solution Engineer

Job Description
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 56 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

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SHORT DESCRIPITION
The Senior Data Engineer will design, build, and maintain scalable data pipelines and infrastructure to power analytics, machine learning, and business intelligence initiatives. As a technical leader, you'll collaborate with cross‑functional teams to deliver robust data solutions and ensure high standards of data quality, governance, and performance.

Responsibilities

• Architect, implement, and optimize ETL/ELT workflows using tools such as Databricks and Informatica to ingest and process large datasets.
• Deploy and manage data infrastructure on Azure and AWS, including containerized services and serverless components.
• Partner with data scientists, software engineers, and business stakeholders to translate requirements into scalable data solutions.
• Monitor and tune pipeline performance, implement robust monitoring/alerting (e.g., Prometheus, DataDog), and troubleshoot production issues.
• Define and enforce data validation rules, lineage tracking, and governance standards to ensure accurate and compliant data usage.
• Build CI/CD pipelines for data code, automate deployments, and support model operationalization workflows.
• Share knowledge of data engineering best practices, conduct code reviews, and mentor junior engineers.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
• 8+ years of hands on experience designing and building data pipelines and infrastructure.
• Strong proficiency in data engineering tools and technologies, such as Apache Spark, Hadoop, Kafka, and cloud-based platforms (AWS, Azure, or GCP).
• Hands-on experience with data modeling, ETL processes, and distributed data processing frameworks.
• Proficiency in programming languages like Python, R, Java, and expertise in SQL.
• Solid understanding of data architecture principles, microservices, and data governance frameworks.
• Excellent problem-solving skills and ability to drive solutions in a fast-paced environment.
• Strong communication and collaboration skills, with a proven ability to work with both technical and non-technical stakeholders.

EEO Statement
At Infosys, we recognize that everyone has individual requirements. If you are a person with disability, illness, or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment either via the following email

Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third-party vendors. In the absence of a signed agreement, any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.

"All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer."