Data Engineer building scalable Databricks ingestion pipelines for Irth Solutions’ infrastructure - protection SaaS. Supporting stakeholder - engagement analytics, LLM/NLP pipelines, and downstream data models.
About the role
- Data Engineer responsible for architecting and implementing advanced analytics capabilities at Tiger Analytics. Collaborating on data strategies and dashboard creation to enhance business insights.
Responsibilities
- The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities.
- The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges.
- We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level.
Requirements
- 12+ years of overall industry experience specifically in data engineering with a heavy focus on the AWS Cloud stack and AI.
- 8+ years of experience building and deploying large-scale data processing pipelines in a production environment.
- Advanced proficiency in Python, SQL, and PySpark.
- Creating and optimizing complex data processing and data transformation pipelines using python
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- Deep experience with Snowflake/Databricks on AWS, dbt, and distributed computing frameworks like Apache Spark.
- Understanding of Datawarehouse (DWH) systems, and migration from DWH to data lakes/Snowflake
- Understanding of ELT and ETL patterns and when to use each. Understanding of data models and transforming data into the models
- Strong analytic skills related to working with unstructured datasets
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
- Experience supporting and working with cross-functional teams in a dynamic environment
Benefits
- Significant career development opportunities exist as the company grows.
- The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
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