Data Engineer

2 weeks ago

Panvel, Maharashtra, India Newbie Soft Solutions Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Job Title: Senior Data Engineer Data & AI / GenAI / Agentic AI Systems

Location: TBD

Job Type: Full-Time

Experience Level: 4–9 Years

Band: B3 or Above

About the Role:

We are looking for a Senior Data Engineer to design, develop, and optimize scalable data pipelines and AI-driven data infrastructure that power advanced analytics, machine learning, and Agentic AI systems. The ideal candidate will have deep expertise in Python, Azure, CI/CD, and cloud-native data architectures, along with exposure to GenAI and multi-agent systems integration.

You'll work closely with data scientists, MLOps engineers, and AI architects to enable intelligent, automated, and adaptive data solutions that drive business innovation.

Key Responsibilities:

  • Data Pipeline Engineering: Build and maintain high-performance data pipelines using Python, PySpark, and Azure technologies.
  • Cloud & Integration: Develop and deploy data workflows using Azure Data Factory, Databricks, and Synapse.
  • AI System Enablement: Design and integrate data flows that support GenAI and Agentic AI applications, ensuring real-time data availability and scalability.
  • CI/CD Automation: Implement and manage continuous integration and deployment pipelines for data projects.
  • Data Governance: Ensure data quality, lineage, and security across systems with proper logging and compliance.
  • Collaboration: Work with AI/ML teams to operationalize data for model training, inference, and intelligent decision systems.
  • Troubleshooting: Identify and resolve performance bottlenecks, data issues, and pipeline failures.
  • Documentation: Create clear and comprehensive documentation for data architectures, processes, and APIs.

Required Qualifications:

  • Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
  • Experience: 6–8 years of experience in data engineering, with hands-on expertise in Azure, Python, and large-scale data systems.

Technical Skills:

CategoryTools & TechnologiesProgrammingPython, SQL, PySpark, ScalaCloud PlatformsAzure (Data Factory, Databricks, Synapse, Azure SQL), AWS, GCPML/AI IntegrationExposure to GenAI, LangChain, RAG pipelines, CrewAI, Agentic AI workflowsCI/CD & DevOpsJenkins, GitLab CI/CD, GitHub ActionsContainerizationDocker, KubernetesData EngineeringAirflow, Kafka, Spark, RabbitMQDatabasesSQL, NoSQL (CosmosDB, MongoDB)Data WarehousingCloud data warehouses (Snowflake, Azure Synapse)GovernanceData Lineage, SHAP, Explainability, MRM complianceBig Data (Preferred)Hadoop, Spark clusters

Soft Skills:

  • Strong analytical and problem-solving mindset
  • Excellent communication and collaboration abilities
  • Ability to work independently and within agile teams
  • Attention to detail with a focus on data accuracy and reliability

Preferred Qualifications:

  • Hands-on experience with Agentic AI, multi-agent systems, or GenAI model integration
  • Knowledge of data architecture for LLM and AI model pipelines
  • Azure Certification (Data Engineer Associate / AI Engineer Associate)
  • Experience in Big Data or AI data orchestration frameworks

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