Job Title

Data Engineer / Data Analyst with data analytics experience using Databricks on AWS, Pyspark, Python, and SQLThis position requires migration experience and GenAI background for automationExperience and Education Required5+ years of experience as Data Analyst / Data Engineer with Databricks, Pyspark, Python experienceJob Profile: Hands-on data analytics experience using Databricks, Pyspark and Python Must have prior experience with migrating a data asset to the cloud using a GenAI automation option Experience in migrating data from on-premises to AWS Expertise in developing data models, delivering data-driven insights for business solutions Data Collection & Integration: Identify, gather, and consolidate data from diverse sources, including internal databases and spreadsheets ensuring data integrity and relevance. Data Cleaning & Transformation: Apply thorough data quality checks, cleaning processes, and transformations using Python (Pandas) and SQL to prepare datasets. Automation & Scalability: Develop and maintain scripts that automate repetitive data preparation tasks.Technical Skills: Minimum of 5 years of experience as a Data Analyst, Data Engineer, or related role, ideally with a bachelor’s degree or higher in a relevant field. Strong proficiency in Python and SQL, with experience working across various data formats and sources. Proven ability to automate data workflows, implement code-based best practices, and maintain documentation to ensure reproducibility and scalability.Behavioral Skills : Documentation & Best Practices: Maintain clear, concise documentation of data workflows, coding standards, and analytical methodologies to support knowledge transfer and scalability. Excellent communication skills for engaging with colleagues, clarifying requirements, and conveying analytical results in a meaningful, non-technical manner. A self-directed, resourceful problem-solver who collaborates well with others while confidently managing tasks and priorities independently.About MphasisMphasis 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 clientsSkillsPRIMARY COMPETENCY : Data Engineering PRIMARY SKILL : Databricks Developer PRIMARY SKILL PERCENTAGE : 80 SECONDARY COMPETENCY : Cloud Apps SECONDARY SKILL : Amazon Web Services-Cloud platform SECONDARY SKILL PERCENTAGE : 20