Principal Data Engineer
hace 4 semanas
About Tiger Analytics, LLC
Tiger Analytics, LLC is a global leader in AI and analytics consulting, empowering organizations to make data-driven decisions and drive business growth. Our team of experts is passionate about harnessing the power of data and technology to solve complex problems and create innovative solutions.
Job Summary
We are seeking an experienced Principal Data Engineer to join our team in Silicon Valley. As a key member of our data engineering team, you will be responsible for designing and building scalable data ingestion pipelines, conceptualizing high-performance data processing, and collaborating with cross-functional teams to deliver analytical solutions.
Key Responsibilities
- Design and build metadata-driven data ingestion pipelines for batch and streaming datasets
- Conceptualize and execute high-performance data processing for structured and unstructured data, and data harmonization
- Schedule, orchestrate, and validate pipelines
- Design exception handling and log monitoring for debugging
- Ideate with peers to make tech stack and tools-related decisions
- Interact and collaborate with multiple teams and stakeholders to meet deadlines and bring analytical solutions to life
Requirements
- Experience in implementing data lakes with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS, and Azure SQL Database
- Comprehensive foundation with working knowledge of Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview
- Passion for writing high-quality code that is modular, scalable, and free of bugs (debugging skills in SQL, Python, or Scala/Java)
- Enthusiasm to collaborate with various stakeholders across the organization and take complete ownership of deliverables
- Experience in using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, and Elastic Search
- Adept understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV
- Good knowledge of building and designing REST APIs with real-time experience working on data lake or lakehouse projects
- Experience in supporting BI and Data Science teams in consuming data in a secure and governed manner
- Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are a valuable addition
What We Offer
- Excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility
- Competitive compensation packages among the best in the industry
- Collaborative and dynamic work environment with a team-first mindset
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