Senior Cloud Data Engineering Expert

2 weeks ago

Amrāvati, Maharashtra, India beBeeDataEngineering Full time ₹ 15,60,000 - ₹ 25,12,000
Seeking Senior Data Engineer with strong cloud-native data engineering background. Must have expertise in building scalable data pipelines, implementing enterprise-grade data governance, security, and AI-powered engineering automation.This role will play a pivotal part in designing, developing, and optimizing data ingestion, transformation, and governance frameworks, enabling real-time and batch data analytics across our data platform.The successful candidate will be responsible for:
  • Designing and implementing scalable, robust, and secure data pipelines using Azure services
  • Developing and maintaining ETL/ELT processes for structured and unstructured data
  • Implementing Change Data Capture (CDC), streaming pipelines, and batch ingestion
  • Working with AWS Glue, S3, Redshift or GCP BigQuery, Dataflow as needed
  • Optimizing performance and cost across data workloads and cloud environments
The ideal candidate will possess:
  • 4+ years in data engineering with at least 2+ years on Azure cloud platform
  • Hands-on with Azure Data Factory, 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
The company offers a dynamic work environment, opportunities for growth and development, and a competitive compensation package.Key Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, or related field
  • 4-8 years of experience in data engineering
  • Proven track record of delivering complex data engineering projects
Soft Skills:
  • Strong problem-solving, communication, and stakeholder collaboration skills
  • Ability to lead data initiatives and mentor team members
  • Proactive in learning and adopting emerging technologies in data & AI

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