30/08 Neehar
HR at Blackhawk Network

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Blackhawk Network - Staff Data Engineer - Hadoop/Spark (8-12 yrs)

Bangalore Job Code: 486831

Job Description :


About Blackhawk Network :


- Blackhawk Network delivers branded payment programs to meet our partners- business objectives.


- We collaborate with our partners to innovate, translating market trends in branded payments to increase reach, loyalty and revenue.


- With a presence in over 26 countries, we reliably execute branded payment programs in over 100 countries worldwide.

- Blackhawk Network is setting up a Global Center of Excellence in India for R&D to lead product delivery and innovation on Blackhawk's next generation SaaS based payments platform.


- Blackhawk is headquartered in Pleasanton, California. For more information, please visit blackhawknetwork.com.

Join us as we shape the future of global branded payments

Responsibilities : Lead large data projects independently from start to launch from data acquisition to analysis

Architecture :

- Independently Develop, Construct, test and maintain data architecture (Databases and large scale processing systems)

- Validate data architecture to business requirements

- Discover, construct and test data acquisition pipelines

- Employ a variety of data acquisition and processing tools to build data pipelines

- Leverage and process large volumes of data from internal and external sources to answer key business questions

- Identify ways to improve data reliability, efficiency, and quality

- Build systems that will analyze and detect data patterns

- Explore and examine data to find hidden patterns

- Detect, Monitor and alert on data patterns in real time

- Construct storyboards and visual dashboards for quantitative business analysis

Required :

- 5 years of experience in data processing tools - hadoop, - spark, python, pig.

- 8 years of experience in data engineering, modelling with large scale data processing environments

- Prior experience in implementing a large scale data lake

- 3-5 years of experience with Amazon or google data processing technologies

- Experience with ETL, reporting and analytical tools

- 8+ years of data warehousing and data mining experience

Preferred :

- Build learning systems


- Implement and optimize machine learning models recommended by Data scientists

- Prepare data sets for use in modelling

Women-friendly workplace:

Maternity and Paternity Benefits

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