• Big Data Engineer Jobs in Pune,India - 23778233

  • Credit Suisse Securities (India) Pvt Ltd
  • Save Job
  • 10 - 13 Years
  • Posted : above 1 month

Job Description:

Credit Suisse is a leading global wealth manager with strong investment banking capabilities Headquartered in Zurich, Switzerland, we have a global reach with operations in about 50 countries and employ more than 45,000 people from over 150 different nations Embodying entrepreneurial spirit, Credit Suisse delivers holistic financial solutions to our clients, including innovative products and specially tailored advice Striving for quality and excellence in our work, we recognize and reward extraordinary performance among our employees, provide wide-ranging training and development opportunities, and benefit from a diverse range of perspectives to create value for our clients, shareholders and communities We are Credit Suisse

We Offer

We are seeking hardworking, experienced big data engineer to join a growing, high-visibility cross-Bank team that is developing and deploying solutions to some of Credit Suisses most challenging analytical problems As a member of this team, you will work with clients and data spanning Credit Suisses global organization to solve emerging most important challenges via the utilization of new technologies such as

Distributed file systems and storage technologies (HDFS, HBase, Hive, Kudu)

Large-scale distributed data analytic platforms and compute environments (Spark, Map/Reduce)

Streaming technologies such as Kafka, Flume

The team of engineers is multi-skilled and performs architecture, development, DevOps, tools integration and data analytics pipeline setup and tuning This is an agile environment using the latest toolsets and practices Typically an engineer in the team collaborates with engineers in other location but also groups within CS (eg Infrastructure, Trading, Compliance Officers, Data Scientist) to ensure we can extract meaning value and insights from all of our internal data

High degree of collaboration between IT and Business

Engineering environment where we have fun delivering high quality

High visibility by Senior Management to deliver on time

You Offer

Experienced level knowledge of Cloudera Hadoop components such as HDFS, Sentry, HBase, Impala, Hue, Spark, Hive, Kafka, YARN, ZooKeeper and Postgres

Experienced level proficiency in Python, Ansible, Salt and dev ops technologies

Expert in Linux and BASH scripting An understanding of Unix/Linux including system administration

Work in teams and collaborate with others to clarify requirements

Assist in documenting requirements as well as resolve conflicts or ambiguities

Tune Hadoop solutions to improve performance and end-user experience

Maintenance, operations and support of the platform across multiple tenants Integrating with existing Strategic Big Data Platform components (Cloudera HDFS with Spark, Python, Hive, Impala, Kudu, Kafka) Dev, UAT and Production support experience

Service Management ie Release management, Management Change, Incident management

Experience with deployment toolsets like Odyssey, SVN, Git, Tableau, Nolio, Pentaho, Ansible, Salt Stack

Loading data from different datasets and deciding on which file format is efficient for a task Source large volumes of data from diverse data platforms into Hadoop platform

You have deep understanding in requirements of recommendations to output transformations

Define Hadoop Job Flows Translate complex functional and technical requirements into detailed design

You can build distributed, reliable and scalable data pipelines to ingest and process data in real-time Hadoop developer deals with fetching impression streams, transaction behaviors, clickstream data and other unstructured data

Fine tune Hadoop applications for high performance and throughput Solve and debug any Hadoop ecosystem run time issues

You have strong communication skills and the ability to present deep technical findings to a business audience

You have 10 years experience in enterprise IT at a global organization Recent 2 years in Big Data ecosystem in a financial firm

You are fluent written and spoken English

You have good attention to detail around documentation and Process oriented

You are dedicated individual with a solution driven attitude

You are a strong team-player with good client facing skills

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Financial Services/Stockbroking, Banking
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 07th Apr 2020

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