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Job Description: AWS Services & Informatica Developer
Responsibilities: This role is for NAM data engineering operations and Development.
Domains including: Data Integration, Data Extraction from Legacy systems, Data Warehousing, AWS Services, Python scripting, efficient in Extract/Load/Transform (ETL)workflows (Informatica PowerCenter and Informatica cloud services) and Redshift reporting.
Strong experience in design, development and testing of Informatica based applications (PowerCenter 10.2 and Informatica cloud services)
Should have Strong Job Description: AWS Services & Informatica Developer
Responsibilities: This role is for NAM data engineering operations and Development.
Domains including: Data Integration, Data Extraction from Legacy systems, Data Warehousing, AWS Services, Python scripting, efficient in Extract/Load/Transform (ETL)workflows (Informatica PowerCenter and Informatica cloud services) and Redshift reporting.
Strong experience in design, development and testing of Informatica based applications (PowerCenter 10.2 and Informatica cloud services)
Should have Strong experience of Oracle database, PL/SQL development, UNIX scripting.
Should have Strong experience of AWS Services like S3, Lambda, DynamoDB, DMS, Redshift,
Should have good experience on Python scripting
Should understand the overall system landscape, upstream and downstream systems
Excellent knowledge of debugging, tuning and optimizing performance of database queries
Good experience in Data Integration: Data Extraction from legacy systems and Load into AWS Redshift and Redshift spectrum.
Supports the module in production, resolves hot issues and implement and deploy enhancements to the application/package
Should be proficient in the end-to-end software development life cycle including: Requirement Analysis, Design, Development, Code Review, Testing
Responsible for ensuring defect-free and on-time delivery
Responsible for Issue resolution along with corrective and preventive measures.
Should be able to manage diverse set of Stakeholders and report on key
Qualification : BE Betech
Experience(in years) : 5
Skill Set Required : Aws Glue, DBT ,Redshift
•
AWS Glue as the ETL tool
•
Strong focus on Spark / PySpark
•
Not hardcore Spark internals, but solid hands-on usage
•
DBT (Data Build Tool)
•
ELT mindset
•
SQL + basic Python (no advanced Python required)
•
AWS fundamentals
•
S3
•
IAM roles & policies
•
Redshift
Architecture & data layer
•
Lakehouse architecture
•
Iceberg tables
•
Redshift as the primary querying / warehouse layer
•
Understanding how Glue + S3 + Iceberg + Redshift fit together is more important than deep theory
Nice-to-have / flexible areas
These are good if they've used it, totally fine if they haven't:
•
Airflow (as orchestration)
•
Even awareness or conceptual understanding is okay
•
CI/CD
•
GitHub
•
Basic exposure is enough; team support is available
of Oracle database, PL/SQL development, UNIX scripting.
Should have Strong knowledge of AWS Services like S3, Lambda, DynamoDB, DMS, Redshift,
Should have good knowledge on Python scripting
Should understand the overall system landscape, upstream and downstream systems
Excellent knowledge of debugging, tuning and optimizing performance of database queries
Good experience in Data Integration: Data Extraction from legacy systems and Load into AWS Redshift and Redshift spectrum.
Supports the module in production, resolves hot issues and implement and deploy enhancements to the application/package
Should be proficient in the end-to-end software development life cycle including: Requirement Analysis, Design, Development, Code Review, Testing
Responsible for ensuring defect-free and on-time delivery
Responsible for Issue resolution along with corrective and preventive measures.
Should be able to manage diverse set of Stakeholders and report on key
Qualification : BE Betech
Experience(in years) : 5
Skill Set Required : Aws Glue, DBT ,Redshift
•
AWS Glue as the ETL tool
•
Strong focus on Spark / PySpark
•
Not hardcore Spark internals, but solid hands-on usage
•
DBT (Data Build Tool)
•
ELT mindset
•
SQL + basic Python (no advanced Python required)
•
AWS fundamentals
•
S3
•
IAM roles & policies
•
Redshift
Architecture & data layer
•
Lakehouse architecture
•
Iceberg tables
•
Redshift as the primary querying / warehouse layer
•
Understanding how Glue + S3 + Iceberg + Redshift fit together is more important than deep theory
Nice-to-have / flexible areas
These are good if they've used it, totally fine if they haven't:
•
Airflow (as orchestration)
•
Even awareness or conceptual understanding is okay
•
CI/CD
•
GitHub
•
Basic exposure is enough; team support is available
Job ID: 145524969
