বিষয়বস্তুতে যান

Manager - Databricks AWS

Overview
KPMG Indiakpmg.comPosted 2 months ago
Bengaluru, Karnataka, INঅফিসে
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জ্যেষ্ঠতার স্তর
Senior
চাকরির ধরন
পূর্ণকালীন
কাজের অভিজ্ঞতা
7+ years
বিশেষায়ন
Data engineering

পদ সম্পর্কে

  • Bachelor’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline
  • 7+ years of relevant experience in data engineering roles with primary skills on Databricks on AWS
  • Detailed knowledge of data warehouse technical architectures, data modelling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding
  • Proficient in at least one or more programming languages: Java, Python, Ruby, Scala
  • Experienced with AWS services such as Redshift, S3, EC2, Lambda, Athena, EMR, AWS Glue, Datapipeline.
  • Exposure to data visualization and reporting with tools such as Amazon QuickSight, Metabase, Tableau, or similar software
  • Experience building metrics deck and dashboards for KPIs including the underlying data models.
  • Understand how to design, implement, and maintain a platform providing secured access to large datasets
  • Master’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline
  • 7+ years of work experience with ETL, Data Modelling, and Data Architecture with primary skills on Databricks on AWS .
  • Experience or familiarity with newer analytics tools such as AWS Lake Formation, Sagemaker, DynamoDB, Lambda, ElasticSearch.
  • Experience with Data streaming service e.g Kinesis Kafka
  • Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
  • Proven track record partnering with business owners to understand requirements and developing analysis to solve their business problems
  • Proven analytical and quantitative ability and a passion for enabling customers to use data and metrics to back up assumptions, develop business cases, and complete root cause analysis
  • Bachelor’s or higher degree in Computer Science or a related discipline; or equivalent (minimum 10+ years work experience).

Key skills

  • Data Science
  • Data Engineering
  • Databricks
  • AWS
  • Data Warehousing
  • Data Modeling
  • ETL
  • SQL
  • Java
  • Python
  • Ruby
  • Scala
  • Redshift
  • EMR
  • Tableau
  • DynamoDB
  • Elasticsearch
  • Kafka