Job | Excellent Opportunity into Big Data Development with an Investment Bank - Bangalore location

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Experience required for the Job: 7 - 15 years
Annual Salary of the Job: 10.00 - 38.00 Lacs
Job Location: Bengaluru/Bangalore


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Dear Job Seeker,

Hi,

Greetings!!!

We have an excellent opportunity into Big Data Development with one of our prestigious client which is into Investment Banking.

Job location: Bangalore
Experience: 7-15 years
Required Skills: Big Data, Hadoop, Spark & Python.

Please find below the JD for your reference -

Description
Data Engineers on the Data Infrastructure & Engineering team are responsible for driving critical cross-functional projects in support of designing, building, and implementing data products to be used in analysis and/or production risk models and strategies. The candidate must exhibit a thorough understanding of data structures, data manipulation, and data quality management. In addition, the candidate must have a solid understanding of CCB businesses, functions, systems, data environments, and processes that are necessary for the production and utilization of customer data.
The candidate must have the ability to partner with stakeholders inside and outside of the department to understand their needs and design and develop robust analytical data solutions that meet and/or exceed customer expectations. The ideal candidate will possess Company institutional data and system knowledge, technical skills, an understanding of data science, and a commitment to producing high quality results.

Other responsibilities will include the following:
• Designing, developing, testing, deploying, and maintaining analytic applications and data structures needed for modeling and analytics
• Process analysis and process improvement
• Creating technical and user documentation
• Training internal customers on how to install and/or use custom built applications
• Identifying innovative techniques and/or developing utilities that increase the speed and efficiency of the modeling and analytics tool set
The candidate must have an educational background in Computer Science, MIS, Software Engineering, or a related discipline. In addition, the candidate must have a minimum of a Bachelor’s degree with five years of experience or a Master’s degree with three years of experience.
• 3-5+ years experience designing and developing highly efficient code for use in automated data processing systems on distributed Unix and Linux based platforms.
• 3+ years of programming and optimization experience using data analysis tools such as SAS, R, and/or Python
• Strong understanding of Unix and Linux based distributed systems and MPP environments including experience with command line, shell scripting, and use of load balancing software
• 3+ years experience with complex SQL tuning experience using relational databases such as greenplum
• Knowledge of version control tools and processes (Subversion, Git, CVS, Clear Case etc.)
• Must have ability to deliver high-quality results under tight deadlines and be comfortable manipulating and summarizing large quantities of data
• Ability to work effectively and gain respect of key partners both inside and outside of the organization
• Ability to lead and persuade others while positively influencing the outcome of team efforts
• Excellent oral and written communication skills
Preferred Skills
• 3+ years working with extremely large data sets in the Hadoop big data processing stack using MapReduce, Hive, SparkSQL, Sqoop, HDFS, and Spark
• Powerful communicator who engages colleagues, business partners, external stakeholders, and employees
• Knowledge of the consumer lending lifecycle, including loan origination, sale/servicing, default management/loss mitigation

If your profile suit above requirement then please share your updated resume including below details:
Total Experience:
Relevant Experience:
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Expected Salary:
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Please Note: In case if your profile does not suit this requirement then kindly ignore this email as it is a mass mail.

Thanks & Regards,
Dnyanesh Panchal
Black Turtle 
Email : dnyanesh.panchal@black-turtle.in | Website: www.black-turtle.com
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