Senior Big Data Engineer - Banking

We have new opportunity for the role "Senior Data Engineer" with our client. Interested candidates send me your CV to [email protected]

Job Title - Senior Data Engineer

Location - Dubai - onsite

Duration - 6 Months

** Must have - Banking Industry

Requirement:

• Previous experience 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.

Responsibilities:

• 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.