Big Data Engineer

Mid / Senior

|

In Office

Meytier Premier Employer

Apply NowAppliedThis job might no longer be active.

Working there

{"group":"Organization","title":"Big Data Engineer","zohoId":"557706000013467022","endDate":"2022-11-15T00:00:00.000Z","jobType":"Full Time","job_url":"422-scienaptic-big-data-engineer","agencyId":1,"location":[{"lat":12.9833,"lon":77.5833,"city":"Bangalore","text":"4th Cross Rd, Sector 5, HSR Layout, Bengaluru, Karnataka 560102, India","state":"Karnataka","country":"","zipCode":"560102","is_state":false,"is_country":false,"state_code":"KA","countryCode":"","isLocationSet":true,"loc_h3_hex_res4":"8461893ffffffff","isLocationResolved":false,"is_address_available_from_parser":true}],"maxSalary":null,"minSalary":null,"startDate":"2022-09-18T00:00:00.000Z","onBehalfOf":"57","description":"<span id=\"spandesc\"><p style=\"text-align: justify\" class=\"align-justify\">Scienaptic is the world&#39;s leading AI-powered Credit Underwriting platform company. Designed by seasoned Chief Risk Officers, its platform is creating industry-leading business impact in terms of lifts such as higher approvals (15-40%) and lower credit losses (10-25%) with all the regulatory explainability. Last year alone, we helped financial institutions evaluate 45 Million consumers and offer credit to over 15 Million. Scienaptic&#39;s clients include Fortune 100 banks, community banks and Fintechs.<br /></p><div class=\"align-justify\" style=\"text-align: justify\">As a big data engineer, you will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.<br /></div><p style=\"text-align: justify\" class=\"align-justify\"><b>Key Responsibilities:</b><br /></p><ul><li style=\"text-align: justify\" class=\"align-justify\">Create and maintain an optimal data pipeline architecture<br /></li><li style=\"text-align: justify\" class=\"align-justify\">Assemble large, complex data sets that meet functional / non-functional business requirements<br /></li><li style=\"text-align: justify\" class=\"align-justify\">Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.<br /></li><li style=\"text-align: justify\" class=\"align-justify\">Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS - big data- technologies<br /></li><li style=\"text-align: justify\" class=\"align-justify\">Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics<br /></li><li style=\"text-align: justify\" class=\"align-justify\">Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs<br /></li><li style=\"text-align: justify\" class=\"align-justify\">Keep our data separated and secure across national boundaries through multiple data centres and AWS regions<br /></li><li style=\"text-align: justify\" class=\"align-justify\">Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader<br /></li><li style=\"text-align: justify\" class=\"align-justify\">Work with data and analytics experts to strive for greater functionality in our data systems<br /></li></ul><p style=\"text-align: justify\" class=\"align-justify\"><b>Desired Profile:</b><br /></p><ul><li style=\"text-align: justify\" class=\"align-justify\">Minimum 3 years of experience in a Data Engineer role<br /></li><li style=\"text-align: justify\" class=\"align-justify\">A graduate degree in Computer Science/Statistics/Informatics/Information Systems or any other quantitative field<br /></li><li style=\"text-align: justify\" class=\"align-justify\">Strong analytical skills related to working with unstructured datasets<br /></li><li style=\"text-align: justify\" class=\"align-justify\">Worked with big data tools like Hadoop, Scala, Spark or Kafka<br /></li><li style=\"text-align: justify\" class=\"align-justify\">Experience with AWS cloud services like EC2, EMR, RDS and Redshift<br /></li><li style=\"text-align: justify\" class=\"align-justify\">Experience with stream processing systems like Storm and Spark Streaming<br /></li><li style=\"text-align: justify\" class=\"align-justify\">Experience with object-oriented/object function scripting languages: Java, Scala, python, etc.<br /></li></ul><ul class=\"align-justify\" style=\"text-align: justify\"><br /></ul><div class=\"align-justify\" style=\"text-align: justify\"><br /></div></span><br />","isHybridJob":false,"isRemoteJob":false,"noOfOpenings":1,"maxExperience":"8","minExperience":"3","isOnPremiseJob":true,"onBehalfOfName":"Scienaptic","otherlocations":[],"zohoCurrencyIn":"INR","experienceLevel":"Mid / Senior","zohoNoOfOpenings":{"noOfOpenings":1,"fulfillmentIds":["557706000013467022-1"]},"otherJobReference":null,"sharpenedJobTitle":"Big Data Engineer","job_category_group":3,"portalLocationDisplay":"Bangalore KA","expertise_coreskill_or_product":["Other"],"job_id":"2412"}