Senior Data and Analytics Engineer

at  EIS Group Inc

DESCRIPTION

Join our dynamic and forward-thinking team as a Senior Data and Analytics Engineer and be part of the cutting-edge development of an enterprise Data and Analytics platform for the insurance industry.
We seek talented, passionate, and creative individuals who excel in dynamic and innovative environments. This role is crucial for designing and implementing modern data pipelines for streaming and transforming large-scale data sets across various databases. If you are a skilled Data Engineer, with expertise in ELT/ETL or BI Development and a strong background in Data, we encourage you to apply for this position.

SKILLS, KNOWLEDGE & EXPERTISE

• Advanced knowledge of SQL.
• Expertise in Snowflake and relational databases
• Proficiency in DBT
• Experience with BI dashboards
• Strong skills in data modeling
• Ability to design and manage robust data pipelines
• Familiarity with Git
• Familiarity with Active Metadata Management systems
• Familiarity with events and Kafka
• Theoretical and practical knowledge in programming technologies and software development life cycle (SDLC)A proactive attitude with a strong sense of responsibility and ownership
• Exceptional problem-solving skills with a focus on customer satisfaction
• Ability to create a positive team atmosphere and promote high team spirit and cooperation
• Preference for collaboration over conflict resolution
• Result-oriented with a strong sense of self-motivation
• Capacity to thrive in a fast-paced and multicultural environment
• Resilience and adaptabilityAnalytical thinking

Nice to have skills:

• Experience with Sisense, Tableau, and PowerBI
• Knowledge of Java Core and Object-Oriented Programming (OOP)
• Familiarity with Apache Spark, Hadoop, and Apache Hive
• Familiarity with data cloud platforms like Databricks, BigQuery, AWS Glue and Redshift, and Microsoft Fabric
• Familiarity with DataOps, MLOps, and LLMOps

• Data products and dashboard implementation
• Design, build, and deploy scalable and reliable data pipelines to manage robust large data sets
• Innovate new features and address bugs to enhance existing functionality
• Engage in unit, integration, automation, and functional testing to ensure high-quality data and reliability
• Conduct thorough code reviews and contribute to architecture and design documents
• Collaborate closely with business analysts, system engineers, and quality assurance engineers to ensure all requirements are clear, concise, comprehensive, and well-documented