Data Engineers and Data Scientists

2 weeks ago

Bengaluru India Dicetek LLC Full time

Job Description Python/Spark based Data Engineers and Data Scientists with Min Work Experience 7-10 Years - Previous experience 7-10+ as a big data engineer. - In-depth knowledge of Hadoop (Cloudera), Spark, and similar frameworks. - Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala - Knowledge of scripting languages including Java, C++, Linux, Ruby, PHP, Python, and R. - Own most deliverables for the Big Data team from a delivery perspective. - Ability to solve complex networking, data, and software issues. - Able to Effectively Plan & Organize Their Work - Strong Interpersonal Communication - Assist others in the completion of their tasks to support the group goals. - Build and maintain cooperative work relationships with others. - Extensive experience in Big Data space (Hadoop Stack like M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, NoSQL stores like Cassandra, HBase etc.) across Fractal and contributes to open-source Big Data technologies. - Write and tune complex Java, MapReduce, and Hive jobs. - Experience leading a Backend/Distributed Data Systems team while remaining hands-on is very important. - Manage the business intelligence team and vendor partners, ensuring to prioritize projects according to customer and internal needs, and develops top-quality dashboards using industry best practices. - Manage team of data engineers (both full-time associates and/or third-party resources) - Analyzes and confirms the integrity of source data to be evaluated. - Leads in deployment and auditing models and attributes for accuracy. - Experience with stream-processing systems: Spark-Streaming, Strom etc. - Experience with object-oriented/object function scripting languages: Python, Scala etc. - Experience in designing and building dimensional data models to improve accessibility, efficiency, and quality of data. - Should be proficient in writing Advanced SQLs, Expertise in performance tuning of SQLs. Experience with data science and machine learning tools and technologies is a plus. - Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. - Experience with Azure cloud services is a plus. - Financial Services Knowledge is a plus.

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