Description

Lead the backend and distributed data systems team while remaining hands-on in big data solution development.

Responsibilities

• Own big data team deliverables and manage full-time associates and third-party resources.
• Design and build dimensional data models to improve data accessibility, efficiency, and quality.
• Write, tune, and deploy complex Java, MapReduce, and Hive jobs.
• Analyze source data integrity and lead the deployment and auditing of models for accuracy.
• Manage business intelligence workflows and vendor partners to prioritize projects based on internal and customer needs.

Required Skills

• 7+ years of experience in the Big Data space using the Hadoop stack (MapReduce, HDFS, Pig, Hive, HBase, Flume, Sqoop).
• In-depth knowledge of Spark, Spark-Streaming, and Storm.
• Proficiency in Python, Java, Scala, C++, Ruby, PHP, and R.
• Hands-on experience with NoSQL stores such as Cassandra and HBase.
• Advanced SQL skills with expertise in performance tuning and relational databases like Postgres.
• Experience with Linux environments and Big Data querying tools like Impala.
• Proven ability to lead distributed data systems teams.
• Bachelor's degree in Computer Science.

Preferred Skills

• Experience with Azure cloud services.
• Knowledge of data science and machine learning tools.
• Background in Financial Services.

Key Skills

Education

Bachelor's degree in Computer Science