Data Engineering and Analytics Specialist

4 days ago

Mumbai, Maharashtra, India beBeeAnalytician Full time ₹ 1,04,000 - ₹ 1,30,878
Analytics Engineer Role

We are seeking an accomplished Analytics Engineer to join our team. This role involves providing high-quality, transformed data for analysis and designing optimal data pipeline architecture.

Your expertise will be essential in developing sophisticated security use cases, bridging the gap between security requirements and technical implementation, and aligning Splunk configurations with overarching security objectives.

As a collaborator, you will work closely with business stakeholders to understand data requirements, support dashboard development, and enable data-driven decision making.

In this innovator role, you will identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.

Key Responsibilities
  • Provide clean, transformed data ready for analysis
  • Build and maintain optimal data pipeline architecture
  • Apply software engineering standard methodologies to analytics
Required Skills and Qualifications
  • Bachelor's degree required, Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field a plus
  • Minimum 3+ years of experience in an Analytical Engineer role
  • Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement
Benefits
  • Strong analytic skills related to working with unstructured datasets
  • Ability to resolve issues independently
  • Excellent communication and collaboration skills
Preferred Qualifications
  • Experience with relational SQL and NoSQL databases: MongoDB, PostgreSQL, etc
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.

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