Data Engineer (Azure) - Dallas

Associate / Junior

|

Remote

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About This Workplace

Meytier Partner

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Responsibilities:
  • Design, implement, configure, and maintain Azure SaaS/PaaS/IaaS(Databricks/ADF/synpase/VMs/aks etc) Cloud Services for hosting wide range of complex projects.
  • Analyze business decisions related to hosting and make recommendations/estimates accordingly
  • Resolve issues and provide technical assistance on the Azure cloud-hosted environment
  • Create and maintain Cloud security strategies, policies, procedures, and documentation
  • Configure VMs and Web Applications
  • Coordinate and deploy software application releases to UAT and Production
  • Document issue resolutions and changes in cloud or system configurations
  • Perform and evaluate cost analyses and vendor comparisons of software/hardware systems to ensure cost-effective and efficiency and measures feasibility of various approaches and makes recommendations
  • Needs to have a continual improvement mindset while working within a team centric environment.
  • Apply advanced methods, theories and research techniques
Requirements:
  • Bachelor’s degree in Computer Science or similar field
  • 4+ years of experience in traditional and modern Big Data technologies (HDFS, Hadoop, Hive, Pig, Sqoop, Kafka, Apache Spark, hBase, Oozie, No SQL databases, PostgreSQL, GIT, Python, REST API, Snowflake, etc.)
  • Experience in Java/Python/Scala
  • Experience extracting/querying/joining large data sets at scale
  • Experience building data platforms using Azure stack
  • Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data
  • Strong knowledge on Azure Storage schematics such as Gen1 and Gen2
  • Experience in harmonizing raw data into a consumer-friendly format using Azure Databricks
  • Knowledge of Azure networking, security, key vaults, etc.
  • Experience in data wrangling, advanced analytic modeling, and AI/ML capabilities is preferred
  • Experience utilizing Snowflake to build data marts with the data residing in Azure storage is a plus
  • Knowledge of SAS, Teradata, Oracle, or other databases a plus
  • Exposure with R and ML technologies a plus
  • Strong communication and organizational skills

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