SR AWS DATA ENGINEER

ProtoGene Consulting Private Limited is hiring SR AWS DATA ENGINEER job in Vadodara | Cutshort

SR AWS DATA ENGINEER
SR AWS DATA ENGINEER

3
\- 7 yrs
₹8L - ₹15L / yr
Vadodara
Skills
PySpark
Data engineering
Big Data
Hadoop
Spark
AWS RDS
AWS REDSHIFT
SQL
AWS GLUE
Skills / Tools
– SQL & Python / PySpark
– AWS Services: Glue, Appflow, Redshift - Mandatory
– Data warehousing basics
– Data modelling basics
-
Job Description
– Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform. Design/ implement, and maintain the data architecture for all AWS data services
– A strong understanding of data modelling, data structures, databases (Redshift), and ETL processes
– Work with stakeholders to identify business needs and requirements for data-related project
– Strong SQL and/or Python or PySpark knowledge
– Creating data models that can be used to extract information from various sources & store it in a usable format
– Optimize data models for performance and efficiency
– Write SQL queries to support data analysis and reporting
– Monitor and troubleshoot data pipelines
– Collaborate with software engineers to design and implement data-driven features
– Perform root cause analysis on data issues
– Maintain documentation of the data architecture and ETL processes
– Identifying opportunities to improve performance by improving database structure or indexing methods
– Maintaining existing applications by updating existing code or adding new features to meet new requirements
– Designing and implementing security measures to protect data from unauthorized access or misuse
– Recommending infrastructure changes to improve capacity or performance
– Experience in Process industry
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Companies hiring on Cutshort

Founded
:
2018
Type
:
Services
Size
:
0-20
Stage
:
Bootstrapped
About
Enabling organizations to utilize the power of technology to transform the data asset into knowledge to execute. ProtoGene provides consulting and services to organizations for • Advanced Analytics & Predictive Modeling • Data Visualization • Data Management • Data Governance
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