Enterprise Data Engineer

6 days ago

Aurangabad, Maharashtra, India beBeeDataEngineer Full time ₹ 19,80,000 - ₹ 21,90,000
Job Title: Enterprise Data Engineer

Key Highlights:

  • Data Platform Architect: Design and develop scalable data pipelines using cloud-based platforms like AWS Glue, Airflow, and Snowflake.
  • Cloud and Big Data Expertise: Develop robust architectures for data platforms on AWS (Redshift, Lambda, S3, Athena) and leverage Spark, Kafka, Hive for processing.
  • Data Governance and Compliance: Ensure compliance with regulations like GDPR/HIPAA and implement security best practices for data protection.
  • Leadership and Collaboration: Mentor junior engineers, work with analysts and data scientists to deliver end-to-end solutions.
  • Performance Optimization: Optimize queries, implement role-based access control and identity access management, and ensure disaster recovery/high availability standards.

Required Skills and Qualifications:

  • Programming Languages:
  • Python (primary), SQL (expert), Java (good-to-have)
  • Platforms and Tools:
  • AWS (Glue, Redshift, RDS, Lambda, S3), Snowflake, Databricks, Spark, Kafka, Airflow, StreamSets, DBT
  • Databases:
  • MS SQL Server, MySQL, Hive, HBase
  • Strong Experience in:
  • data modeling, governance, and compliance

Benefits of this Role:

This role is ideal for a Senior Data Engineer with a strong background in ETL, Cloud, Data Warehousing, and Big Data ecosystems. If you enjoy solving complex data challenges and are passionate about building enterprise-grade data platforms, we encourage you to apply for this exciting opportunity.

Additional Information:

We seek an expert in designing and developing scalable data platforms with a focus on security, compliance, and performance optimization. The ideal candidate will have hands-on experience with cloud-based platforms, data governance frameworks, and big data technologies.

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