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Job Title:Title Exception-Aurora PG
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| Ref No.: |
26-00257 |
| Location: |
Mumbai, Maharashtra
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| Start Date: | 02/07/2026 |
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| Job Description |
Role Overview
As a Senior Data Engineer, you will be responsible for designing, building, and operating data platforms that rely on Amazon Aurora PostgreSQL as a core data store. Being a part of Data Engineering Team, you will work closely with other infrastructure and security teams to ensure data systems are scalable, performant, secure, and compliant.
This role requires strong hands‐on Aurora PostgreSQL expertise along with end‐to‐end ownership of database‐centric data engineering solutions, supporting analytics and emerging AI‐driven use cases.
Key Responsibilities
Aurora PostgreSQL Administration
- Own the design, implementation, and operation of Amazon Aurora PostgreSQL databases supporting data engineering workloads.
- Define, review, and evolve database schemas, data models, and access patterns optimized for downstream consumption.
- Be accountable for database lifecycle activities including provisioning, upgrades, patching, backups, and high availability.
- Ensure consistent standards and configurations across Dev, Non‐Prod, and Prod environments.
Performance, Reliability & Scalability
- Take responsibility for database performance tuning, including query optimization, indexing strategies, and connection management.
- Monitor database health, capacity, and growth trends, and proactively drive scaling and optimization activities.
- Design, validate, and maintain high‐availability and disaster‐recovery strategies using native Aurora capabilities.
Security, Governance & Compliance
- Own implementation of secure, least‐privilege access models and role‐based controls for database access.
- Enable and maintain audit logging and integrations with centralized SOC platforms.
- Ensure databases comply with organizational security standards and regulatory requirements (e.g., GDPR).
- Act as a key technical contributor during SOC reviews, audits, and security investigations.
Data Engineering Enablement
- Work to support and optimize ETL/ELT pipelines, batch and near‐real‐time ingestion workloads.
- Provide guidance on data access patterns, schema evolution, and performance best practices.
- Support integrations with platforms such as Databricks, S3‐based data pipelines, and analytics tools.
Automation & Operational Excellence
- Drive automation of routine operational and database tasks using scripts, AWS‐native services, Infrastructure‐as‐Code, and AI‐assisted tools to streamline repetitive activities such as performance analysis, log review, and incident investigation.
- Own troubleshooting and resolution of complex data platform issues, including participation in on‐call rotations and production support.
- Create, maintain, and continuously improve runbooks, SOPs, and operational documentation for data platforms.
Must‐Have Skills
- 6+ years of strong experience as a Senior Data Engineer with deep hands‐on expertise in Amazon Aurora PostgreSQL.
- Advanced PostgreSQL knowledge (query optimization, indexing, vacuuming, replication concepts).
- Experience owning and supporting data‐intensive platforms in production environments.
- Solid understanding of AWS services related to data platforms (Aurora/RDS, IAM, CloudWatch, S3).
- Proven ability to independently troubleshoot and resolve complex production issues.
Good‐to‐Have Skills
- Experience with Amazon Aurora MySQL and MongoDB Atlas.
- Familiarity with Databricks or similar analytics/lakehouse platforms.
- Understanding of modern data engineering patterns (ETL/ELT, batch vs streaming).
- Working knowledge of AI/ML concepts.
- Experience in regulated industries such as fintech, payments, or financial services.
Preferred Qualifications
- Experience with Infrastructure‐as‐Code tools (Terraform, CloudFormation).
- Exposure to CI/CD practices for data platforms.
- AWS certifications related to data or solutions architecture.
|
| Story Behind the Need – Business Group & Key Projects |
- Surrounding team & key projects
- Purpose/Size of this team
- Reason for the request
- Motivators for this need
- Increase Staff Need/ Replacement?
- Project?
|
- Global Open Banking Database Engineering Team. Support the Open Banking Databases in various AWS regions
- 15 Data Engineers
- Required
-
- Replacement
- Open Banking Data Engineering
|
| Typical Day in the Role |
- Hours/Shift worked
- Key tasks and rhythm
- Interaction with outside the team
- Interaction level with others (clients)
- Required to travel or work remotely (expenses required?)
|
- 9 hours/shift
- Data systems administration, research and POC tasks of new technologies
- Yes, other infra teams, Software Engg Teams
- There is no client interaction
- Hybrid
|
| Compelling Story & Candidate Value Proposition |
- What makes this role interesting?
- Competitive market comparison
- Unique selling points
- Value added or experience gained
|
- Cloud focus with an opportunity to work on multiple Data systems
- Required
- Required
- Required
|
| Candidate Requirements |
- Top 3 must-have HARD skills
- Depth of experience with each
- Stack-ranked
|
1 |
Expert in Aurora PostgreSQL |
| 2 |
Working knowledge of Aurora MySQL, MongoDB |
| 3 |
Solid understanding of AWS services related to data platforms (Aurora/RDS, IAM, CloudWatch, S3) |
- Top 3 must-have SOFT skills
- Depth of experience with each
- Stack-ranked
|
1 |
Strong problem-solving skills |
| 2 |
Effective communication |
| 3 |
Attention to detail |
- Years of experience required
- Key performance measurements
- Degrees or certifications required
- Disqualifiers
|
- 6-8 years of total experience, 4-6 years of relevant experience
-
- Bachelor's degree in information technology, Computer Science or Management Information Systems or equivalent work experience.
AWS Certifications, PostgreSQL certifications |
- Language/Communication Level
Rate (1= Not Important / 5= Integral)
- English required
- Other language(s) required
|
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| Candidate Review & Selection |
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- Resume submittal deadline
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- Contact for initiate screening call(s)
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|
|
|
|
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- Shortlisting process
- Feedback availability
- Hard skills assessment availability
|
Feedback touch-point date |
|
| Hard skills assessment dates |
|
| Hard skills assessment prep |
|
| Important Compliance Notes for Suppliers |
- All applications have to be submitted with a single document and show the below:
- Page 1: Cover Page to be filled in
- Page 2: Candidate's Resume
- Submittals cannot include agency letterhead or logos
- Please submit all candidates with full legal names
- Only information provided in Beeline (Bill Rate, working hours, assignment dates) are valid. All submitted bill rates will be the max bill rate that an offer will be made at; there will be no upward negotiation on bill rates.
- Hiring managers must not be contacted during the hiring process; any contact will result in a Major Infraction
- All previous Client employees must be flagged on submission, for HR clearance.
- A Right to Represent form is required for all candidates in order to qualify duplicate candidates
- All successful candidates must have a fully completed Non-Disclosure Agreement submitted with offer acceptance in the tool.
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Candidate Declaration:
By signing this declaration, I the candidate consent to the submission of my application and agree to the following statements:
- Full understanding of this being a contract position, and acceptance of the stated duration/end date
- Willingness to work in shift for a certain period on need to basis or for training, as specified in the Job Description
- My skills/experience have been fairly represented in my application.
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| Surname, First Name |
Signature |
|
Date |
|
| Job Title & Beeline ID |
|
| Date of Intake |
|
| Manager Name |
Rohan Ranadive |
| Delegate (People Manager) |
Rohan Ranadive |
| Flex String |
|
| Location |
Navi Mumbai |
| Number of Positions |
1 |
| Estimated Start Date |
|
| End Date |
( Contract Duration) |
| CWP Contact |
Bhavini Khatke |
| Equipment Requirements |
- |
| Submission Limit (vol of resumes) |
20 |
| Pre-Identified Candidate (Yes/No) |
- |
| |
| Job Description |
Role Overview
As a Senior Data Engineer, you will be responsible for designing, building, and operating data platforms that rely on Amazon Aurora PostgreSQL as a core data store. Being a part of Data Engineering Team, you will work closely with other infrastructure and security teams to ensure data systems are scalable, performant, secure, and compliant.
This role requires strong hands‐on Aurora PostgreSQL expertise along with end‐to‐end ownership of database‐centric data engineering solutions, supporting analytics and emerging AI‐driven use cases.
Key Responsibilities
Aurora PostgreSQL Administration
- Own the design, implementation, and operation of Amazon Aurora PostgreSQL databases supporting data engineering workloads.
- Define, review, and evolve database schemas, data models, and access patterns optimized for downstream consumption.
- Be accountable for database lifecycle activities including provisioning, upgrades, patching, backups, and high availability.
- Ensure consistent standards and configurations across Dev, Non‐Prod, and Prod environments.
Performance, Reliability & Scalability
- Take responsibility for database performance tuning, including query optimization, indexing strategies, and connection management.
- Monitor database health, capacity, and growth trends, and proactively drive scaling and optimization activities.
- Design, validate, and maintain high‐availability and disaster‐recovery strategies using native Aurora capabilities.
Security, Governance & Compliance
- Own implementation of secure, least‐privilege access models and role‐based controls for database access.
- Enable and maintain audit logging and integrations with centralized SOC platforms.
- Ensure databases comply with organizational security standards and regulatory requirements (e.g., GDPR).
- Act as a key technical contributor during SOC reviews, audits, and security investigations.
Data Engineering Enablement
- Work to support and optimize ETL/ELT pipelines, batch and near‐real‐time ingestion workloads.
- Provide guidance on data access patterns, schema evolution, and performance best practices.
- Support integrations with platforms such as Databricks, S3‐based data pipelines, and analytics tools.
Automation & Operational Excellence
- Drive automation of routine operational and database tasks using scripts, AWS‐native services, Infrastructure‐as‐Code, and AI‐assisted tools to streamline repetitive activities such as performance analysis, log review, and incident investigation.
- Own troubleshooting and resolution of complex data platform issues, including participation in on‐call rotations and production support.
- Create, maintain, and continuously improve runbooks, SOPs, and operational documentation for data platforms.
Must‐Have Skills
- 6+ years of strong experience as a Senior Data Engineer with deep hands‐on expertise in Amazon Aurora PostgreSQL.
- Advanced PostgreSQL knowledge (query optimization, indexing, vacuuming, replication concepts).
- Experience owning and supporting data‐intensive platforms in production environments.
- Solid understanding of AWS services related to data platforms (Aurora/RDS, IAM, CloudWatch, S3).
- Proven ability to independently troubleshoot and resolve complex production issues.
Good‐to‐Have Skills
- Experience with Amazon Aurora MySQL and MongoDB Atlas.
- Familiarity with Databricks or similar analytics/lakehouse platforms.
- Understanding of modern data engineering patterns (ETL/ELT, batch vs streaming).
- Working knowledge of AI/ML concepts.
- Experience in regulated industries such as fintech, payments, or financial services.
Preferred Qualifications
- Experience with Infrastructure‐as‐Code tools (Terraform, CloudFormation).
- Exposure to CI/CD practices for data platforms.
- AWS certifications related to data or solutions architecture.
|
| Story Behind the Need – Business Group & Key Projects |
- Surrounding team & key projects
- Purpose/Size of this team
- Reason for the request
- Motivators for this need
- Increase Staff Need/ Replacement?
- Project?
|
- Global Open Banking Database Engineering Team. Support the Open Banking Databases in various AWS regions
- 15 Data Engineers
- Required
-
- Replacement
- Open Banking Data Engineering
|
| Typical Day in the Role |
- Hours/Shift worked
- Key tasks and rhythm
- Interaction with outside the team
- Interaction level with others (clients)
- Required to travel or work remotely (expenses required?)
|
- 9 hours/shift
- Data systems administration, research and POC tasks of new technologies
- Yes, other infra teams, Software Engg Teams
- There is no client interaction
- Hybrid
|
| Compelling Story & Candidate Value Proposition |
- What makes this role interesting?
- Competitive market comparison
- Unique selling points
- Value added or experience gained
|
- Cloud focus with an opportunity to work on multiple Data systems
- Required
- Required
- Required
|
| Candidate Requirements |
- Top 3 must-have HARD skills
- Depth of experience with each
- Stack-ranked
|
1 |
Expert in Aurora PostgreSQL |
| 2 |
Working knowledge of Aurora MySQL, MongoDB |
| 3 |
Solid understanding of AWS services related to data platforms (Aurora/RDS, IAM, CloudWatch, S3) |
- Top 3 must-have SOFT skills
- Depth of experience with each
- Stack-ranked
|
1 |
Strong problem-solving skills |
| 2 |
Effective communication |
| 3 |
Attention to detail |
- Years of experience required
- Key performance measurements
- Degrees or certifications required
- Disqualifiers
|
- 6-8 years of total experience, 4-6 years of relevant experience
-
- Bachelor's degree in information technology, Computer Science or Management Information Systems or equivalent work experience.
AWS Certifications, PostgreSQL certifications |
- Language/Communication Level
Rate (1= Not Important / 5= Integral)
- English required
- Other language(s) required
|
|
| Candidate Review & Selection |
|
|
|
|
- Resume submittal deadline
|
|
|
- Contact for initiate screening call(s)
|
|
|
|
|
|
|
- Shortlisting process
- Feedback availability
- Hard skills assessment availability
|
Feedback touch-point date |
|
| Hard skills assessment dates |
|
| Hard skills assessment prep |
|
| Important Compliance Notes for Suppliers |
- All applications have to be submitted with a single document and show the below:
- Page 1: Cover Page to be filled in
- Page 2: Candidate's Resume
- Submittals cannot include agency letterhead or logos
- Please submit all candidates with full legal names
- Only information provided in Beeline (Bill Rate, working hours, assignment dates) are valid. All submitted bill rates will be the max bill rate that an offer will be made at; there will be no upward negotiation on bill rates.
- Hiring managers must not be contacted during the hiring process; any contact will result in a Major Infraction
- All previous Client employees must be flagged on submission, for HR clearance.
- A Right to Represent form is required for all candidates in order to qualify duplicate candidates
- All successful candidates must have a fully completed Non-Disclosure Agreement submitted with offer acceptance in the tool.
|
| |
|
|
|
|
Candidate Declaration:
By signing this declaration, I the candidate consent to the submission of my application and agree to the following statements:
- Full understanding of this being a contract position, and acceptance of the stated duration/end date
- Willingness to work in shift for a certain period on need to basis or for training, as specified in the Job Description
- My skills/experience have been fairly represented in my application.
| |
|
|
|
| Surname, First Name |
Signature |
|
Date |
|
|
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