Principal Data Analytics Specialist

2 weeks ago

Pune, Maharashtra, India beBeeAnalytics Full time ₹ 8,00,000 - ₹ 12,00,000
Senior Data Engineer\Helpers for this position:\
\
  • \
  • A Bachelor's / Engineering degree in Computer Science or Information Technology.\
  • A Postgraduate degree or diploma in Computer Science / Data Science is an added advantage.\
  • AWS, SQL, Databricks, and Apache Spark certifications are a plus.\
  • Strong foundation in data analytics and engineering, with a minimum of 5–7 years of hands-on experience in project management, implementation, development, improvement, and support of data-related projects.\
  • Strong expertise in programming languages such as Python and SQL.\
  • Deep knowledge of big data processing and analytics (Spark, Spark optimization, Databricks, Big Data technologies).\
  • Proficient in data modeling.\
  • Good expertise in development and operations (DevOps, GIT).\
  • Knowledge of data storage and architecture is preferred.\
  • Experience with minimum 4–5 relevant project closures.\\/ul>

Responsibilities:\
\

  • \
  • Demonstrates strong capabilities in Python and SQL, designing functional Python scripts for data manipulation or ETL tasks; uses libraries like pandas, NumPy effectively.\
  • Designs and optimizes complex SQL-based data models, and mentors others in query optimization and database design principles.\
  • Independently builds and optimizes Spark jobs for complex ETL tasks and manages Databricks workflows for performance and reliability.\
  • Designs scalable Spark workflows and mentors others in advanced optimization techniques (e.g., skew handling, memory tuning).\
  • Develops and optimizes Databricks workflows; manages clusters and schedules jobs effectively.\
  • Creates robust data models for analytics (e.g., star schemas); ensures scalability and performance.\
  • Proficient in DevOps practices, utilizing CI/CD pipelines and GIT for deployment while maintaining high standards of code quality and reliability.\
  • Innovates analytics methodologies for complex problems, mentors others in analytics best practices.\
  • Demonstrates strong problem-solving and project ownership, independently resolving complex technical issues and driving projects from start to finish.\
  • Effectively communicates complex ideas to both technical and non-technical stakeholders, ensuring clear understanding and delivering robust, scalable analytics solutions.\
  • Develops robust analytics approaches; ensures solutions are scalable and aligned with business objectives.\
  • Optimizes pipeline performance with supervision and implements basic improvements (e.g., indexing, caching).\
  • Effectively participates in stakeholder meetings, contributes to discussions on project requirements and updates, and gathers basic requirements, while needing some supervision for advanced conflict resolution and establishing complex stakeholder relationships.\
  • Actively contributes to Agile processes, project planning, and supports the development team through knowledge sharing and basic technical guidance.\\/ul>

This is an excellent opportunity to join our company as a Senior Data Engineer. If you are passionate about working with data and have a strong background in computer science or information technology, we encourage you to apply. Please note that only candidates who meet the qualifications will be considered.

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