Senior AWS Engineer

Posted by Praveen Kumar
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6 - 15 yrs
₹6L - ₹20L / yr
Amazon Web Services (AWS)
Amazon EC2
AWS Lambda
AWS CloudFormation
Job description

Position Responsibilities:
This Senior AWS Developer position within the Business Intelligence group will be responsible for developing, configuring, coding, testing, and debugging new software solutions. This role will serve as a key technical resource in the development and delivery of data-oriented solutions to support critical business needs.

  • This individual must be highly technical, with a good understanding of data management tools and must be able to document, build, and deploy the best technical solution within business timelines.
  • Sound knowledge of various AWS Services and SQL
  • Exposure to Snowflake architecture
  • Good understanding and experience of various AWS service like S3, lambda, SNS, Cloud watch and other AWS services
  • Good working knowledge on AWS DMS
  • Should have 2+ years of experience on AWS Glue, AWS DMS Replication, Snowflake data ingestion using Snow pipes
  • Should have 5-6 years of experience on SQL and Data warehouse concepts
  • Hands on experience on snowflake and AWS i.e. Data ingestion pattern, Query tuning
  • Develop & deploy big data pipelines in a cloud environment using Snowflake cloud DW
  • ETL design, development and migration of existing on-prem ETL routines to Cloud Service; Hands on developer in the field of data warehousing, ETL
  • Interact with senior leaders, understand their business goals, contribute to the delivery of the workstreams
  • Design and optimize model codes for faster execution Skills and attributes for success
  • Experience in Snowflake modelling - roles, schema, databases
  • Experience in Integrating with third-party tools, ETL, DBT tools
  • Experience in Snowflake advanced concepts like setting up resource monitors and performance tuning would be preferable
  • Develop data pipelines to perform batch and Real - Time/Stream analytics on structured and unstructured data
  • Deep understanding of AWS S3, Lambda, EMR, Glue and other related services.
  • Data processing patterns, distributed computing and in building applications for real-time and batch analytics
  • Handling large data sets and perform data wrangling, analysis, etc., using various SQL & NoSQL database technologies
  • Have knowledge and skills in DevOps and containerization. Preferable having deployment knowledge

Skills and Qualification:

  • Exceptional AWS background with data transformation and operational experience
  • Experience with AWS tools and infrastructure. Particularly in regard to s3 storage and data pipelines
  • Strong SQL Proficiency with Snowflake including analytic queries and other complex use cases.
  • Experience with SQL Query Tuning, data investigation, and optimization
  • Experience modelling star schemas and other summary objects based on business requirements
  • Experience building large data stores, modern data warehouse, or advanced data processing solutions
  • Understanding of Oracle, SQL Server and other database systems
  • Understanding of modern data warehouse architectures such as data vault
  • Very good communication skills to ensure transfer of knowledge and best practices to Integration developers and QA team
  • Bachelors degree in IT, Computer science, or related field
About Delta Technology and Management Services Pvt. Ltd.
Delta believes and takes pride in providing comprehensive business solutions for global clients.

Delta Technology is focused on delivering Consulting and Product development on technologies like Machine Learning, Artificial Intelligence, Business Intelligence and Cloud based ERP & HCM. We have a global footprint with clients in India, USA, Australia and UAE spread across various fortune, mid-sized and Government clients. Providing enterprise level IT Services using over 50 different transforming technologies. Delta Technology operations caters to Agriculture, Waste Management & Recycling, Banking, Financial Services and Insurance domain and is concentrated in analytical framework designing, data warehouse designing and development, KPI definition, data integration, dashboarding and data driven insights powered by subject matter experts and latest technology.
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100-1000 employees
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