Cloud Native Data Solutions Expert

18 hours ago

Kota, Rajasthan, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Data Engineer

We are seeking an experienced Data Architect to join our team. As a Senior Data Engineer, you will be responsible for designing and implementing scalable data pipelines using cloud-native technologies.

The ideal candidate will have deep expertise in building robust data governance frameworks, ensuring data quality, security, and AI-powered engineering automation.

This role will play a pivotal part in enabling real-time and batch data analytics across our data platform.

  • Design and implement scalable, secure data pipelines using Azure Data Factory, Databricks, Synapse Analytics
  • Develop and maintain ETL/ELT processes for structured and unstructured data
  • Implement Change Data Capture (CDC), streaming pipelines, and batch ingestion
  • Work with AWS Glue, S3, Redshift or GCP BigQuery, Dataflow as needed
  • Optimize performance and cost across data workloads and cloud environments
  • Establish and maintain data quality frameworks, observability tools, and monitoring dashboards
  • Define and enforce data rules, validations, anomaly detection, and reconciliation
  • Implement data lineage and metadata tracking using Azure Purview
  • Drive adoption of data cataloguing, profiling, and classification tools
  • Collaborate with data stewards and compliance teams to ensure governance alignment

Technical Skills:

  • 4+ years in data engineering with at least 2+ years on Azure cloud platform
  • Hands-on with Azure Data Factory, Azure Data Lake Gen2, Databricks, Synapse, Purview
  • Proficiency in SQL, PySpark, Python, and data orchestration tools
  • Strong understanding of data architecture patterns – Lakehouse, medallion, delta architecture
  • Familiarity with Snowflake, BigQuery, Redshift, or AWS Glue
  • Experience with data versioning and GitOps for data
  • Working knowledge of data observability, lineage, cataloguing, data quality
  • Exposure to privacy-enhancing techniques, access control, security auditing
  • Exposure to machine learning use cases in data engineering pipelines, data quality, anomaly detection, and schema change detection
  • Exposure to GenAI or agentic AI to Automate data cataloguing and metadata enrichment etc.

Qualification & Experience:

Candidate must be BE/BTech/MCA with 4 to 8 years' experience in Data Engineering.

Personal Attributes/Traits:

  • Consultative
  • Socially confident
  • Achievement oriented
  • Decisive and action oriented
  • Creative
  • Eager to learn
  • Resilient

Competencies:

  • Business Foresight
  • Influencing Others
  • Fostering Partnerships With Customers
  • Managing Transformation
  • Driving Excellence
  • Leading Teams
  • Working Across Boundaries

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