Job description
We are looking for a savvy Data Engineer to join our growing team of analytics experts.
The hire will be responsible for:- Expanding and optimizing our data and data pipeline architecture- Optimizing data flow and collection for cross functional teams.- Will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.- Must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.- Experience with Azure : ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.- Experience with object-oriented/object function scripting languages: Python, SQL, Scala, Spark-SQL etc.Nice to have experience with :- Big data tools: Hadoop, Spark and Kafka- Data pipeline and workflow management tools: Azkaban, Luigi, Airflow- Stream-processing systems: StormDatabase : SQL DBProgramming languages : PL/SQL, Spark SQLLooking for candidates with Data Warehousing experience, strong domain knowledge & experience working as a Technical lead.The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.
Key skills
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