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Data Engineer

3.00 to 4.00 Years   Bangalore   01 Oct, 2020
Brillio Technologies Pvt Ltd
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

*Brillio is forging ahead aggressively amidst the current COVID-19 situation and continues to hire for various roles globally - with all interviewing and on-boarding done virtually. Brillio has invested in the right capabilities to adapt to the new normal and empower its employees to operate seamlessly. All the new joiners, along with the Brillio family, will temporarily work remotely until it is safe to return to our offices.Read Brillio s Chief Operating and Delivery Officer, Aftab Ullah s statement about Brillios hiring plans in the leading publications - The Times of India (https://tinyurl.com/ybw2ya9v) and The Week s (https://tinyurl.com/ydhjltys) latest stories about the positive hiring sentiments of tech firms.As a Brillian what your day would look like:

  • You will partner closely with the clients to deliver state-of-the-art outcomes by engineering solutions.
  • You will continue to expand your expertise in Data Science, Big Data, Analytics and Visualization tools/techniques daily to enable incremental innovation in on-going projects
  • At all times, you will clearly articulate and communicate with a diverse set of internal and external customers with varying degrees of technical proficiency and deliver critical business and process related information to mitigate any risks or failures
  • You will persistently look for opportunities to address customer needs by being a thought partner in every moment of engagement
To succeed, you should have technical experience and expertise in:
  • Min 3 to 4 years of experience in Hadoop, Big Data technologies (HDFS, SQOOP, Hive, Pig, Spark, Impala etc.).
  • Strong Hands on experience in working with Cloudera Distribution (CDP) on Hadoop, Kerberos AD integration, upgradation to new CDP versions and migration.
  • Strong exp. in Integrating current Hadoop for Authorization & Authentication into Active Directory and Kerberos.
  • Expertise in MS SQL Server Database and Performance tuning experience, Batch and distributed computing using ETLELT (Spark SQL Server DWH).
  • Experience in AWS and No SQL Databases such as MongoDB etc.
  • At least one end to end implementation project experience on data processing pipeline using Hadoop (CDP) ecosystem, Data Lake and Data Warehouse.
  • Ability to review technical deliverables, mentor and drive technical teams to deliver quality products.
  • Ability of data profiling, data quality assessment, business rules validations to incorporate validation and verification mechanism to ensure data quality is of high value standards.
  • Strong communication and interpersonal skills.
  • Ability to partner closely with the clients to deliver state oft heart outcomes by engineering solutions.
  • Clarity in articulation and communication with a diverse set of internal and external customers with varying degrees of technical proficiency to deliver critical business and process related information to mitigate any risks or failures.
  • Ability to work in ambiguous situations with unstructured problems and anticipate potential issues risks.
Analytics and Data understanding:
  • Strong analytical and problem-solving skills
  • Excellent oral and written communication skills
  • Able to work in teams and collaborate with others to clarify requirements
  • Understanding of Agile and other development processes and methodologies.
,

Keyskills :
business rulessqlpythoninformaticams sqldata sciencems sql serverjavadata warehousingdata qualitybig datasql serverstatements of work sow

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