Lead Data Engineer

7 days ago


Dallas, Texas, United States Tiger Analytics Full time
About the Role

Tiger Analytics is seeking a highly skilled Lead Data Engineer to join our team in Dallas, TX. As a Lead Data Engineer, you will be responsible for designing and implementing large-scale data systems using Azure Databricks, Event Hub, and other big data tools.

Key Responsibilities

  • Design and implement analytical data stores in Azure using ADLS, Azure Data Factory, and Data Bricks.
  • Develop and maintain high-performance, reliable, and maintainable ETL code using Python and Azure functions.
  • Ingest huge volumes of data from various platforms for analytics needs.
  • Implement data ingestion and curation processes using big data tools such as Spark, Data Bricks, Delta Lake, Hive, HDFS, Sqoop, Kafka, Kerberos, and Impala.
  • Collaborate with cross-functional teams to design and implement data warehouses and data stores for analytics consumption.
  • Ensure data quality and anomaly detection using SQL knowledge and data analysis skills.

Requirements

  • Expertise in Python and experience writing Azure functions.
  • Experience using Event Hub for data integrations.
  • Hands-on expertise in big data tools such as Spark, Data Bricks, Delta Lake, Hive, HDFS, Sqoop, Kafka, Kerberos, and Impala.
  • Strong SQL knowledge and data analysis skills for data anomaly detection and data quality assurance.
  • Strong experience in building and designing data warehouses and data stores for analytics consumption.

What We Offer

This is an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.


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