Senior Data Engineering

We are seeking a highly skilled Senior Data Engineer with a strong foundation in Data Modeling and Data Engineering. The ideal candidate will be responsible for designing, building, and maintaining robust data pipelines and architectures that support our data-driven decision-making processes. You will work closely with cross-functional teams to ensure data integrity, security, and accessibility across the organization.

• Design and implement scalable ETL pipelines using Azure Data Factory, Databricks, and other relevant tools.
• Develop and maintain data models and data architecture to support business intelligence and analytics initiatives.
• Collaborate with Business Owners, Analytics teams, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
• Utilize SQL for data manipulation and querying, ensuring optimal performance and accuracy.
• Implement data governance and security best practices, including RBAC and IAM, to protect sensitive information.
• Leverage Azure services such as Data Lakes, Synapse, and Event Hub to enhance data processing capabilities.
• Utilize Git, CI/CD, Azure DevOps, and Terraform for version control and deployment automation.
• Monitor and troubleshoot data-related issues, providing timely resolutions to ensure data quality and availability.
• Stay updated with emerging technologies and methodologies in data engineering and big data.
• Foster strong communication and collaboration within global teams to drive project success.

• Strong expertise in Data Modeling and Data Engineering.
• Proficiency in ETL processes and tools, particularly Azure Data Factory and Databricks.
• Extensive experience with SQL, data warehousing, and data architecture.
• Hands-on experience with Azure services, including Data Lakes, Synapse, and Event Hub.
• Familiarity with Git, CI/CD, Azure DevOps, and Terraform.
• Excellent problem-solving skills and ability to troubleshoot data-related issues.
• Strong communication and collaboration skills to work effectively with global teams.

• Experience with data security tools and data governance tools such as Collibra and Purview.
• Familiarity with big data technologies and AI enablement/automation within data engineering.
• Understanding of data governance and security best practices.
• Experience in Finance, Supply Chain, Sales & Marketing, and Procurement domains.

• A graduate or post-graduate degree in Computer Science, Software Engineering, or a related field.
• Proven experience in data engineering roles with a focus on data modeling and architecture.
• A proactive mindset with a willingness to learn new technologies and methodologies.

Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.

Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO in the law poster here, view the EEO in the law supplement here. To view the pay transparency nondiscrimination provision please click here and to view the E-Verify posting click here.
Mphasis is committed to providing reasonable accommodations to individuals with disabilities.