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Data Engineering Leader at Tiger Analytics - Richardson - Tiger Analytics
Description
Job OverviewTiger Analytics is a pioneering AI and analytics consulting firm, leveraging data and technology to drive impactful solutions globally. With a strong presence in Silicon Valley and across the globe, we foster an expert-driven culture with a team-first approach.
About the Role
We're seeking a highly skilled Data Engineering Leader to join our team as a Principal Data Engineer (Azure). This role offers a unique opportunity for significant career development in a fast-growing entrepreneurial environment with high individual responsibility.
Responsibilities
- Design and implement scalable metadata-driven data ingestion pipelines using Azure Data Factory (ADF), PySpark, Databricks, and ADLS.
- Conceptualize and execute high-performance data processing for structured and unstructured data, including data harmonization.
- Schedule, orchestrate, and validate pipelines, ensuring seamless execution and minimal downtime.
- Collaborate with peers to make tech stack and tools-related decisions, driving innovation and efficiency.
- Interact and collaborate with multiple teams (Consulting/Data Science & App Dev) and various stakeholders to meet deadlines and deliver analytical solutions.
Requirements
- Experience in implementing Data Lakes with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS, and Azure SQL Database.
- Strong foundation with working knowledge of Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview.
- Passion for writing high-quality code, with skills in modular, scalable, and bug-free programming (SQL, Python, or Scala/Java).
- Ability to collaborate with various stakeholders across the organization and take ownership of deliverables.
- Experience with 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 supporting BI and Data Science teams in consuming data securely and governedly.
- Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are valuable additions.
What We Offer
This position provides an exceptional compensation package, with salary estimates ranging from $180,000 to $250,000 per annum, depending on expertise and location. Benefits include comprehensive health insurance, retirement plans, paid time off, and professional growth opportunities.
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