<![CDATA[ The IT Data Engineer is responsible for developing and managing the data’s ETL processing, with a focus on quality and risk, to assist in the achievement of analytics objectives.

Build robust, fault-tolerant data pipelines that clean, transform and aggregate unorganized and messy data into databases or data sources.
Compile and install database systems, write complex queries and scale to multiple machines.
Lay the groundwork for a Data Analyst or Data Scientist to easily retrieve the needed data for their evaluations and experiments.
Provide input to the business strategy to help guide the overall direction of data management and data quality within the organization.

Essential Qualifications

Bachelor’s or Master’s degree in Computer Science or related field
Excellent communication, verbal and written skills

Key competencies

Either SQL or Java or C++ is a must
Awareness of software development lifecycle (testing, deployment, releases) demonstrated through assignment or projects is a must
Awareness of Agile development methodologies– Azure VSTS, SCRUM is a plus
Good to have skills on Hadoop technologies like Sqoop, Hive, HBASE, Spark, python, Scala
Experience in working with Real Time Integrations, IoT projects is a bonus, for instance, Kafka, NiFi, cloud (e.g. AWS, Google or Azure).

Other Skills And Abilities

Ability to work in global distributed setting without supervision
Readiness to work on big data, cloud.
Self-driven, Proactive, Systems Thinking

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IT Data Engineer

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