Unlock Your Potential as a Data Engineering Leader
3 days ago
Tiger Analytics is a global AI and analytics consulting firm that empowers businesses to drive meaningful change. With data and technology at the heart of our solutions, we are solving complex problems that impact millions globally. Our culture is built around expertise and respect with a team-first mindset, modeled after the principles of Silicon Valley innovation.
As a Great Place to Work-CertifiedTM organization, we offer an exciting opportunity for experienced professionals to join our mission. As a Principal Data Engineer (Azure), you will be part of a dynamic team that pushes the boundaries of what is possible in the field of data engineering. You will have hands-on experience working on Azure as cloud, Databricks, and other cutting-edge technologies.
We're seeking someone who can design and build scalable metadata-driven data ingestion pipelines for batch and streaming datasets. You'll conceptualize and execute high-performance data processing for structured and unstructured data, ensuring seamless harmonization. Additionally, you'll schedule, orchestrate, and validate pipelines, while designing exception handling and log monitoring for debugging purposes.
This role requires strong collaboration skills to ideate with peers and make tech stack decisions. You'll also interact with multiple teams, including Consulting/Data Science & App Dev, and various stakeholders to meet deadlines and bring analytical solutions to life.
We expect you to have extensive experience in implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS, and Azure SQL Database. A comprehensive foundation with working knowledge of Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview is also essential. You should be passionate about writing high-quality code, which should be modular, scalable, and free of bugs, demonstrating strong debugging skills in SQL, Python, or Scala/Java.
The ideal candidate will be enthusiastic about collaborating with various stakeholders across the organization and taking complete ownership of deliverables. Experience in using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search is highly valued. Adept understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV is also required.
This position offers an estimated salary range of $160,000 - $220,000 per annum, commensurate with experience and qualifications. We also provide competitive benefits and opportunities for career development in a fast-growing entrepreneurial environment with a high degree of individual responsibility.
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