Senior Data Engineering Specialist

2 days ago

Pune, Maharashtra, India beBeeData Full time ₹ 15,00,000 - ₹ 20,00,000

Job Title: Senior Data Engineering Specialist

About the Role

We are seeking an experienced and innovative data engineering professional to join our team as a Senior Data Engineering Specialist. The ideal candidate will have a strong background in designing, building, and maintaining large-scale data architectures.

Responsibilities
  • Design and implement cutting-edge data science and engineering solutions to drive business innovation.
  • Develop robust and scalable data pipelines to process and transform raw data from various sources.
  • Analyze complex data requirements and design data models that meet organizational needs.
  • Implement backend microservices for large-scale distributed systems using gRPC or REST.
  • Apply data integration, validation, and transformation techniques to ensure data quality and consistency.
  • Optimize data processing pipelines and implement performance tuning techniques.
  • Ensure the security and privacy of data by implementing access controls, encryption mechanisms, and data anonymization techniques.
  • Establish monitoring and auditing mechanisms to proactively identify and rectify any data issues ensuring a high level of data integrity.
  • Create and maintain visualization dashboards and reports for actionable insights.
Requirements
  • 8+ years of professional experience in data engineering, software development, or MLOps involving large-scale, real-time cloud-based distributed systems.
  • Bachelor's degree in Computer Science (or related field) or equivalent work experience.
  • Strong foundation in data engineering concepts, including data modeling, database design, ETL processes, and data warehousing.
  • Proficiency in Python, SQL, and PySpark, with a focus on applying these to data engineering tasks.
  • Familiarity with various machine learning models like regression, classification, clustering, deep learning, etc.
  • Knowledge of tools like Git, MLflow, DVC (Data Version Control), or Weights & Biases for tracking experiments and model versions.
  • Proficiency with technologies like SnowFlake and Databricks.
  • Expertise with data visualization tools like Tableau, Power BI, Sigma, or similar.
  • Familiarity with code repository and project tools such as GitHub, JIRA, and Confluence.
  • Strong communication ability to liaise with various partners, including data scientists, business analysts, and executives, to understand requirements and translate them into technical solutions.
What We Offer

We offer a dynamic and collaborative work environment, opportunities for growth and professional development, and a competitive compensation package.

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