Role description

Position Title- Data Analyst

We are looking for a highly skilled and client-focused Data Analyst with deep expertise in  Databricks  to join our AI/ML team. The ideal candidate will be responsible for driving data transformations, structuring datasets, and managing data ingestion processes based on business requirements. This role requires strong communication skills to interact with clients and stakeholders, and the ability to translate business needs into actionable data solutions.

Years of experience needed –

• 5+ years  of experience in data analytics and transformation.

• 5+ years  of hands-on experience with  Databricks , including advanced use of notebooks, Delta Lake, and Spark-based processing.

Technical Skills:

• Core Tools: Databricks, Apache Spark, Delta Lake

• Programming Languages: Python, SQL, Scala (preferred)

• Data Engineering: ETL/ELT pipelines, data ingestion frameworks

• Cloud Platforms: Azure, AWS, or GCP (Databricks integration)

• Visualization Tools: Tableau, Power BI, Domo

• Version Control: Git

Nice to Have:

• • Experience with Data Science projects

  • Familiarity with MLflow, AutoML, or other machine learning frameworks

  • Exposure to CI/CD and DevOps practices

Key Responsibilities:

• Collaborate with clients to understand business requirements and translate them into data solutions.

• Design and implement scalable data ingestion pipelines using Databricks.

• Perform data transformations and structure datasets for analytics and reporting.

• Optimize performance of Spark jobs and manage resource utilization in Databricks.

• Ensure data quality, integrity, and governance across all stages of the pipeline.

• Develop and maintain documentation for data processes and standards.

• Work closely with cross-functional teams including data scientists, engineers, and business analysts.

• Provide technical leadership and mentoring to junior analysts on Databricks best practices.

• Present insights and findings to clients and stakeholders in a clear and actionable manner.

Location: Montreal, QC, Canada

Work Mode: Hybrid (3 days in office)

About Mphasis

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.

Equal Opportunity Employer:

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 , view the EEO in the law supplement . To view the pay transparency nondiscrimination provision please click and to view the E-Verify posting click .

Mphasis is committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of disability to search and apply for a career opportunity, please send an email to accomodationrequest@mphasis.com and let us know your contact information and the nature of your request.