Data Engineer

We are looking for a Senior Data & Platform Engineer. Candidates will design and operate data pipelines that connect heterogeneous source systems, normalize data into consumption‑ready models in Snowflake, and build AI‑powered agents that surface intelligence across the platform. Years of experience: 10 years. Core Responsibilities Snowflake engineering: design schemas, write performant SQL, manage roles & warehouse sizing, and implement change‑management practices. ETL/ELT development: build and maintain pipelines that ingest from diverse sources (APIs, databases, event streams) and normalize data for BI and downstream consumers. AI agent development: leverage Snowflake Cortex and AI agent frameworks to build intelligent data products and automate analytical workflows. Backend & API connectivity: develop backend integrations with internal and third‑party systems via REST APIs and backend services. Required Skills Snowflake – hands‑on experience building and optimizing data models, writing advanced SQL (PIVOT, GROUPING SETS, ROLLUP/CUBE), and managing Snowflake environments in production. Multi‑source integration – proven ability to connect and ingest data from heterogeneous sources including relational databases, REST APIs, SaaS platforms, and event streams. ETL or ELT design – experience designing normalized schemas and transformation pipelines that produce clean, consumption‑ready data models (star/snowflake schema, dimensional modeling). Python – strong proficiency for data engineering tasks: pipeline orchestration, data transformation, API clients, and scripting automation. AI agents within Snowflake – familiarity with Snowflake Cortex, LLM functions, and agent‑based patterns for building intelligent, data‑driven workflows inside the Snowflake ecosystem. Backend integration patterns – practical experience building backend services and integrations using Python, REST APIs, and related tooling (authentication, pagination, error handling, retry logic). Additional Skills PostgreSQL & relational databases – working knowledge of PostgreSQL or equivalent RDBMS, including query optimization, indexing, and schema design patterns. Go (Golang) – experience building backend services or microservices in Go is a strong differentiator. Cloud data infrastructure – familiarity with Azure or AWS data services (e.g., Azure Data Factory, Event Hubs, S3) as source or orchestration layers. Data observability & testing – experience with data quality frameworks, dbt tests, or observability tooling (Great Expectations, Monte Carlo, etc.). Process Skills Excellent written and verbal communication skills. Capable of analyzing requirements and developing software as per a defined software process. Initiate or participate in peer reviews. Behavioral Skills Resolve technical issues of projects and explore alternate designs. Participate as a team member and foster teamwork through inter‑group coordination within modules of the project. Effectively collaborate and communicate with stakeholders and ensure client satisfaction. Train and coach members of project groups to ensure effective knowledge‑management activity. Certification Any relevant certification would be an added advantage. Salary Range $80,500 to $157,500. 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. We are 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 View email address on click.appcast.io and let us know your contact information and the nature of your request. #J-18808-Ljbffr Mphasis