Senior Cloud Data Engineer

hace 2 días

Xico, México Tiger Analytics, Llc A tiempo completo
About the Role

Tiger Analytics, LLC is a leading global AI and analytics consulting firm. We are a team of experts who are passionate about solving complex problems and making a meaningful impact on the lives of millions globally. Our culture is built on a foundation of expertise, respect, and a team-first mindset. We are headquartered in Silicon Valley and have delivery centers and offices across the globe, including a substantial remote global workforce.

Job Summary

We are seeking an experienced Principal Data Engineer (Azure) to join our team. As a Principal Data Engineer (Azure), you will have hands-on experience working on Azure as a cloud platform, Databricks, and some exposure/experience in Data Modelling. You will design and build scalable & metadata-driven data ingestion pipelines, conceptualize and execute high-performance data processing for structured and unstructured data, and data harmonization.

Key Responsibilities
  • Design and build scalable & 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 your peers to make tech stack and tools-related decisions.
  • Interact and collaborate with multiple teams (Consulting/Data Science & App Dev) and various stakeholders to meet deadlines, to bring Analytical Solutions to life.
Requirements
  • Experience in implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database.
  • A comprehensive foundation with working knowledge of Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview.
  • A 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, 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 the 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

The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

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