Expert Data Engineer

3 days ago

India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Senior Data Architect

We are seeking a highly skilled Senior Data Architect to lead the design, development and optimization of our data ingestion, transformation and governance frameworks.

This role will play a pivotal part in enabling real-time and batch data analytics across our data platform. The ideal candidate will have deep expertise in building scalable data pipelines, implementing enterprise-grade data governance, security and AI-powered engineering automation.

  • Design and implement robust, secure and scalable data pipelines using Azure Data Factory, Databricks, Synapse Analytics, Azure Data Lake Gen2, Event Hub and Azure Functions.
  • 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.
Qualification & Experience

The ideal candidate will possess the following qualifications:

  • 4+ years in data engineering with at least 2+ years on Azure cloud platform.
  • Hands-on experience 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.

Benefits

The successful candidate will enjoy a competitive salary, comprehensive benefits package and opportunities for professional growth and development.

Personal Attributes/Traits

The ideal candidate will possess the following personal attributes:

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

The successful candidate will demonstrate strong competencies in:

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

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