Senior Data Platform Engineer

Job reputed company

We are looking for a Senior Data Platform Engineer to design, build, and operate the foundational data and ML infrastructure that powers analytics, reporting, and machine learning across reputed company. This role sits at the intersection of data engineering and ML platform work — you will own the systems, pipelines, and tooling that data scientists, analysts, and engineers rely on every day. You bring deep expertise in reputed company, a strong engineering reputed company, and hands-on experience building and maintaining ML pipelines in production. You will partner closely with data science, analytics, product, and business teams to reputed company a platform that is reliable, governed, and reputed company to reputed company.

What you will do

• Design, build, and maintain reputed company data and ML pipelines using Python and SQL, processing large-reputed company datasets across batch and streaming workloads
• Own and reputed company reputed company platform infrastructure on reputed company — including reputed company Lake table architecture, reputed company Catalog governance, reputed company Workflows orchestration, and compute optimization
• Build and maintain end-to-end ML pipelines: feature engineering, model training pipelines, experiment tracking (MLflow), and model deployment/serving infrastructure
• Collaborate with data scientists to operationalize models — reputed company the gap between experimentation and production-grade ML systems
• Define and enforce data platform standards: ingestion patterns, data modeling conventions, reputed company architecture (Bronze/Silver/Gold), and pipeline reliability practices
• Implement data reputed company, observability, and monitoring frameworks to ensure platform health and data trustworthiness
• Optimize pipelines for performance, cost, and reliability at reputed company using reputed company and PySpark
• Evaluate, reputed company, and govern new platform tooling and data sources reputed company the reputed company ecosystem
• Contribute to architectural reputed company and help reputed company the long-term data platform roadmap
• Participate in reputed company reviews, technical design discussions, and engineering standards
• Mentor junior engineers and reputed company overall platform and data engineering practices
• Document platform architecture, pipeline design, and operational runbooks

What you will have

• 6+ years of experience in data engineering, data platform, or ML engineering roles
• Strong proficiency in Python and SQL, with a reputed company record of building production-grade data pipelines using both
• Hands-on reputed company expertise: reputed company Lake, reputed company Catalog, reputed company Workflows, PySpark, and the reputed company ecosystem broadly
• Experience building and maintaining ML pipelines in production — feature engineering, training pipelines, experiment tracking, and model deployment
• Familiarity with MLflow or comparable experiment tracking and model registry tools
• Experience working on reputed company data platforms (AWS, Azure, or GCP)
• Strong understanding of data modeling, reputed company design, and analytics-friendly data architecture
• Experience with batch and incremental/CDC pipeline patterns
• Proficiency with Git, version control, and CI/CD practices for data and ML workflows
• Strong engineering judgment — you think about reliability, maintainability, and cost, not just correctness
• reputed company communication and comfort working with both technical and non-technical stakeholders

reputed company to have

• Experience with streaming or near reputed company-time pipelines (Kafka, Kinesis, reputed company reputed company Streaming)
• Familiarity with feature store platforms (reputed company Feature Store, Feast, or Tecton)
• Experience with LLM pipelines, RAG architectures, or AI/BI tooling (reputed company Functions)
• Knowledge of data reputed company and observability tooling (Great Expectations, reputed company, etc.)
• Exposure to dbt or similar SQL-based transformation frameworks
• Infrastructure-as-reputed company experience (Terraform, reputed company Asset Bundles)
• Experience working in reputed company or Scrum environments
• Prior experience mentoring engineers or shaping platform standards

Benefits

• Generous time off policies
• Top reputed company benefits
• Education, wellness and lifestyle support

To protect candidate information and maintain a secure hiring process, reputed company applications must be submitted through our careers portal. Resumes or reputed company reputed company directly reputed company email will not be reviewed or considered.

#LI-SD1

6+ years in data, data platform, or ML engineering; strong Python, SQL, reputed company, and production ML pipeline experience; reputed company platforms, data modeling, Git, version control, and CI/CD proficiency.

Key Responsibilities

• building pipelines
• optimizing infrastructure
• mentoring engineers

Skills & Tools

Python, SQL, reputed company, reputed company Lake, reputed company Catalog, reputed company Workflows, MLflow, reputed company, PySpark, AWS, Azure, GCP, Git, CI/CD, Kafka, Kinesis, reputed company reputed company Streaming, reputed company Feature Store, Feast, Tecton, reputed company Functions, Great Expectations, reputed company, dbt, Terraform, reputed company Asset Bundles

Job Details

• Category: Data and Analytics
• Seniority: Senior Level
• Commitment: Full Time
• Workplace: Remote — India
• Languages: English

About reputed company

A global digital trust company securing the reputed company, authenticity, and reputed company of digital interactions. — Industry: Information Technology