Amazon Web Services (AWS)
PythonJob Summary:
As an AWS Data Engineer, you will be responsible for designing, developing, and maintaining scalable, high-performance data pipelines using AWS services. With 6+ years of experience, you’ll collaborate closely with data architects, analysts, and business stakeholders to build reliable, secure, and cost-efficient data infrastructure across the organization.
Key Responsibilities:
- Design, develop, and manage scalable data pipelines using AWS Glue, Lambda, and other serverless technologies
- Implement ETL workflows and transformation logic using PySpark and Python on AWS Glue
- Leverage AWS Redshift for warehousing, performance tuning, and large-scale data queries
- Work with AWS DMS and RDS for database integration and migration
- Optimize data flows and system performance for speed and cost-effectiveness
- Deploy and manage infrastructure using AWS CloudFormation templates
- Collaborate with cross-functional teams to gather requirements and build robust data solutions
- Ensure data integrity, quality, and security across all systems and processes
Required Skills & Experience:
- 6+ years of experience in Data Engineering with strong AWS expertise
- Proficient in Python and PySpark for data processing and ETL development
- Hands-on experience with AWS Glue, Lambda, DMS, RDS, and Redshift
- Strong SQL skills for building complex queries and performing data analysis
- Familiarity with AWS CloudFormation and infrastructure as code principles
- Good understanding of serverless architecture and cost-optimized design
- Ability to write clean, modular, and maintainable code
- Strong analytical thinking and problem-solving skills
Shubham Vishwakarma
Full Stack Developer - Averlon
About Deqode
About
At Deqode, our purpose is to help businesses solve complex problems using new-age technologies. We provide enterprise blockchain solutions to businesses.
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Resources should have banking domain experience.
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Technical Skills:
Strong hands-on frontend development using JavaScript and LWC
Expertise in backend development using Apex, Flows, Async Apex
Understanding of Database concepts: SOQL, SOSL and SQL
Hands-on experience in API integration using SOAP, REST API, graphql
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Skill details.
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Strong understanding of Salesforce core architecture
Objects (Standard vs Custom)
Fields, relationships (Lookup, Master-Detail)
Data model basics and record lifecycle
Awareness of declarative vs programmatic capabilities and when to use each
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End-to-end understanding of Salesforce security layers, especially:
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Difference between Profiles, Permission Sets, and Sharing Rules
Ability to explain how Salesforce ensures that records are not visible to unauthorized users by default and how access is extended
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Clear distinction between:
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Use cases such as validation and field updates
After Triggers (after insert, after update)
Use cases such as related record updates or integrations
Understanding of trigger context variables and best practices (bulkification, avoiding recursion)
4. Platform Events / Event-Driven Architecture
Knowledge of Platform Events and their use in decoupled, event-driven solutions
Understanding of real-time or near real-time notification use cases (e.g., UI alerts, pop-up style notifications)
Ability to position Platform Events versus alternatives (Streaming API, Change Data Capture)
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Understanding of the @wire mechanism in Lightning Web Components (LWC)
Discussion point:
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Clear articulation of reactive vs imperative data handling
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Website - https://praxinfo.com/">https://praxinfo.com/
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon