Senior Data Architect

Job Description: A Data Engineer is required to lead a Backend/Distributed Data Systems team while remaining hands-on.Develop and implement Big Data technologies such as Hadoop Stack, Spark, Hive, HBase, Flume, Sqoop, and No SQL stores like Cassandra and HBase.Tune complex Java, Map Reduce, and Hive jobs for performance optimization.Mange a team of data engineers and lead the development of dimensional data models to enhance data accessibility, efficiency, and quality.Responsibilities and Qualifications: Extensive experience in Big Data technologies and contribution to open-source Big Data projects.Proficiency in writing and tuning complex Java, Map Reduce, and Hive jobs.Experience leading a Backend/Distributed Data Systems team while remaining hands-on.Manage a team of data engineers (full-time and/or third-party resources).Experience with stream-processing systems such as Spark Streaming and Storm.Proficiency in scripting languages like Python, Scala, and object-oriented languages such as Java and C++.Knowledge of scripting languages including Linux, Ruby, PHP, Python, and R.Experience designing and building dimensional data models to enhance data accessibility, efficiency, and quality.Proficiency in writing advanced SQL and performance tuning of SQL queries.Experience with relational SQL and No SQL databases, including Postgres and Cassandra.Financial Services domain knowledge is a plus.Benefits: Maximum joining time: 1 month.Opportunity to work with a global organization.Others: Referrals increase your chances of interviewing by 2x.Get notified about new job openings.