Senior Cloud Data Engineering Leader

17 hours ago

Kurnool, Andhra Pradesh, India beBeeDataEngineering Full time ₹ 1,80,00,000 - ₹ 2,10,00,000

We are seeking a highly experienced Senior Data Engineering Lead with a strong focus on Databricks and cloud-based data engineering.

Key Responsibilities:
  • Foster collaboration and innovation within a high-performing team of data engineers, providing mentorship and technical guidance.
  • Design and implement large-scale data pipelines, data lakes, and cloud-based data warehouses using Databricks, Apache Spark, and Snowflake.
  • Develop and optimize ETL/ELT workflows to ensure performance, reliability, and scalability of data infrastructure.
  • Collaborate with business stakeholders, data scientists, and software teams to translate requirements into scalable, efficient data solutions.
  • Implement best practices for data quality, governance, security, and compliance throughout the organization.
  • Drive continuous improvement of data engineering processes, standards, and tools across the organization.
  • Support presales activities by contributing to RFPs and technical proposals.
  • Stay up-to-date with emerging data technologies and trends, recommending innovative solutions to enhance analytics capabilities.
Qualifications & Skills:
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • Minimum 18 years of professional experience in data engineering with at least 12 years in leadership or senior technical roles.
  • Hands-on expertise with Databricks and Apache Spark for large-scale data processing.
  • Strong programming skills in Python, Scala, or Java.
  • Extensive experience with cloud data platforms including services like S3, Redshift, BigQuery, Snowflake.
  • Solid understanding of data modeling, data warehousing, ETL/ELT design, and data lakes.
  • Experience with big data technologies like Hadoop, Kafka, and Databricks ecosystem.
  • Knowledge of CI/CD pipelines, data orchestration tools, and data governance best practices.
  • Proven experience managing high-performing teams and delivering complex data engineering projects on time.
  • Familiarity with analytics solutions and ability to translate business needs into technical requirements.
  • Strong communication skills, capable of engaging with both technical teams and senior leadership.
  • Experience supporting presales efforts is a plus.
Additional Requirements:
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • Professional certification in relevant data engineering areas is a plus.

This role requires a highly motivated individual who can drive growth through strategic planning and execution. If you have the vision to lead our data engineering team, please consider applying for this exciting opportunity.

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