Lead Consultant - Python Data Engineer (BB-E60BA)
Found in: Talent IN
Description:ResponsibilitiesPassionate about delivering tactical and strategic solutions to support the banks’ Market Risk processes and reporting.The individual will be part of an Agile team working closely with team members in India and New York.Perform development and provide system support as required for the project.Re-architect, re-design and re-engineer platforms to seek data distribution and orchestration problems.Understanding of the banking technology landscape along with the ability to analyze requirements, identify data sources, and communicate to downstream systems efficiently.QualificationsMinimum qualificationsBE/B Tech/ MCAExcellent written and verbal communication skillsSolid relevant experience in Python and PySpark.Good Experience with SparkSQL, Spark Streaming Python.Need to have good experience in Hadoop, Hive, and HBaseDemonstrable understanding of Data Structures, Algorithms, and Object-Oriented Design.Hands-on experience with stream processing applications as Kafka, KSQL, and understanding of low-level Kafka inner workings and partitioning schemesExperience with SQL – Design, Develop with a deep understanding of Optimization techniques (e.g.: DB2, Oracle, Teradata, SQL Server)Good knowledge of key AWS services EC2, EMR, GCP DataProc, Databricks, Azure HDInsisghtsPreferred qualificationsKnowledge of versioning tools like GIT, SVN and AWS services with architectural knowledgeCreative ways of solving problems efficiently and logicallyDevelopment experience in both Agile and Waterfall development methodologies.Solid grasp of distributed architecture including web services and messaging.Prior working experience in the financial services industry; specifically on Risk and Quantitative Modelling.
calendar_today12 hours ago
info <span class="inline">&nbsp;</span><span id="requisitionDescriptionInterface.ID1989.row1" class="text" title="">Full Time</span>
location_on Noida, India