Senior Data Engineering and Analytics Expert

1 day ago


Pune, Maharashtra, India beBeeDataEngineering Full time ₹ 20,00,000 - ₹ 25,00,000
Job Title: Senior Data Engineering and Analytics Expert

We are seeking a highly skilled Senior Data Engineering and Analytics Expert to join our team. This is an excellent opportunity for someone with experience in data engineering, analytics, and science to take on a leadership role in shaping our data strategy.

Key Responsibilities:

  • Lead the design, implementation, and maintenance of end-to-end data platforms using Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks.
  • Design and lead data science and analytics projects using Azure Machine Learning, Python, and ML frameworks.
  • Build and optimize high-volume data pipelines with a focus on performance, scalability, and cost-efficiency.
  • Perform advanced query optimization, indexing, and performance tuning across structured and unstructured data sources.
  • Enable real-time analytics and predictive insights using Azure Stream Analytics, Synapse Real-Time, and Power BI.
  • Define and implement data governance, security, and compliance strategies aligned with enterprise policies.
  • Provision and manage Azure Data Fabric components including Delta Lake, Azure Blob Storage, and Lakehouse architecture.
  • Integrate data and AI solutions with internal and external systems using REST APIs, Azure Functions, Logic Apps, and Event Grid.
  • Monitor and maintain data pipelines and analytics workloads using Azure Monitor, Log Analytics, and Application Insights.
  • Collaborate with data scientists, analysts, and business stakeholders to align data solutions with strategic goals.
  • Mentor junior data engineers and scientists and contribute to internal data strategy and innovation forums.

Required Skills and Qualifications:

  • Azure Data Engineering and Analytics : Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Stream Analytics, Azure Data Lake Storage Gen2, Azure Blob Storage, Delta Storage.
  • Data Science and Machine learning : Azure Machine Learning, Python, R, SQL, PL/SQL, Libraries : Pandas, Scikit-learn, TensorFlow, PyTorch.
  • Data Analytics and Visualization : Power BI, Synapse Real-Time Analytics, KQL queries, telemetry analysis, Azure Monitor, Log Analytics, Application Insights.
  • Integration and Architecture : REST APIs, Azure Functions, Logic Apps, Event Grid, Event-driven and serverless architecture patterns, Real-time and batch data processing pipelines, Knowledge of ML Ops + Data Ops.
  • Security and Governance : RBAC, Managed Identities, Private Endpoints, Data classification, lineage, encryption, and compliance.

Academic Background & Qualifications:

  • Bachelors or masters degree in computer science, Data Science, Engineering.
  • Preferred : Postgraduate specialization or executive degree in AI/ML or Data Engineering.

Certifications (Mandatory any 2 of the below):

  • Microsoft Certified : Azure Data Engineer Associate.
  • Microsoft Certified : Azure AI Engineer Associate.
  • Microsoft Certified : Azure Solutions Architect Expert.
  • Databricks certified Data Engineer Professional.
  • Databricks certified Machine Learning Professional.

Keyword: DataEngineering


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