Chief Data Architect

2 weeks ago


Guntur, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 18,00,000
Job Title

We are seeking a highly skilled Data Engineer to play a pivotal part in designing, developing, and optimizing data ingestion, transformation, and governance frameworks.

This role involves working with various technologies including Azure Data Factory, Databricks, Synapse Analytics, Azure Data Lake Gen2, Event Hub, and Azure Functions.

  • Design and implement scalable, robust, and secure data pipelines using emerging technologies.
  • 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.
  • Implement role-based access control (RBAC), data masking, encryption, and tokenization.
Requirements

To be successful in this role, you will need to have:

  • 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.
Priorities

In addition to the core responsibilities, we also value candidates who:

  • Are proactive in learning and adopting emerging technologies in data & AI.
  • Mentor junior data engineers and contribute to technical best practices.


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