Senior Cloud Data Scientist

1 week ago

Bellary, Karnataka, India beBeeDataEngineer Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

Job Title: Senior Data Engineer

We are seeking a talented professional to play a pivotal part in designing, developing, and optimizing data ingestion, transformation, and governance frameworks.

Key Responsibilities:
  • Design and implement scalable, robust, and secure 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.
  • Implement role-based access control (RBAC), data masking, encryption, and tokenization.
Requirements:

We seek a candidate with:

  • 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.
  • Exposure to GenAI or agentic AI to automate data cataloguing and metadata enrichment etc.
  • Experience with NLP or LLMs in metadata extraction or data classification is a plus.
Qualification:

Candidate must have:

Bachelor's degree in Computer Science or related field.

Personal Attributes/Traits:

  • Motivated.
  • Socially confident.
  • Achievement oriented.
  • Decisive and action oriented.
  • Creative.
  • Eager to learn.
  • Resilient.
  • Business Foresight.
  • Influencing Others.
  • Fostering Partnerships With Customers.
  • Managing Transformation.
  • Driving Excellence.
  • Leading Teams.
  • Working Across Boundaries.

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