Job Description:-
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing 'big data' data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large, disconnected datasets.
Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
Strong project management and organizational skills.
Mandatory Skills:
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with AWS cloud services: EMR, redshift, athena, sql, etc.
Should have good experience in BI tools like ETL, informatica
Should have worked for CI/CD tools
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 80183517
- Position Id: 32ff0f2043dbd1be99282a965ed839f9
- Posted 3 hours ago
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