Manager - Databricks AWS
Overview
KPMG Indiakpmg.comPosted 2 months ago
Bengaluru, Karnataka, INऑफिस से
Quick apply- वरिष्ठता स्तर
- Senior
- रोज़गार का प्रकार
- पूर्णकालिक
- कार्य अनुभव
- 7+ years
- विशेषज्ञता
- Data engineering
भूमिका के बारे में
- 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
