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 MySQL as a core data store. Being a part of the Data Engineering Team, you will work closely with application, infrastructure, and security teams to ensure database platforms are scalable, performant, secure, highly available, and compliant. This role requires strong hands-on Aurora MySQL expertise along with end-to-end ownership of database-centric data engineering solutions, supporting application workloads, analytics consumption, operational reporting, and emerging AI-driven use cases. Key Responsibilities Aurora MySQL Administration Own the design, implementation, and operation of Amazon Aurora MySQL databases supporting data engineering and application workloads. Define, review, and evolve database schemas, indexing strategies, partitioning approaches, and access patterns optimized for performance and downstream consumption. Be accountable for database lifecycle activities including provisioning, upgrades, patching, backups, failover validation, and high availability. Ensure consistent standards and configurations across non-Prod and Prod environments. Performance, Reliability & Scalability Take responsibility for Aurora MySQL performance tuning, including slow query analysis, execution plan review, indexing, schema optimization, and connection management. Monitor database health, replication lag, storage growth, capacity trends, and workload patterns, and proactively drive scaling and optimization activities. Design, validate, and maintain high-availability and disaster-recovery strategies using native Aurora capabilities, including reader instances, failover, backups, snapshots, and cross-region patterns where applicable. Support sharded or large-scale Aurora MySQL environments by driving capacity planning, performance improvements, and operational readiness. Security, Governance & Compliance Own implementation of secure, least-privilege access models and role-based controls for Aurora MySQL database access. Enable and maintain audit logging, database activity monitoring, and integrations with centralized SOC and observability platforms. Ensure databases comply with organizational security standards and regulatory requirements such as GDPR, SOC, and PCI where applicable. Act as a key technical contributor during SOC reviews, audits, security investigations, and access control reviews. Data Engineering Enablement Work to support and optimize ETL/ELT pipelines, batch workloads, and near-real-time ingestion patterns that interact with Aurora MySQL. Provide guidance on schema design, query patterns, data access strategies, and performance best practices for application and analytics teams. Support integrations with platforms such as AWS Glue, HVR, 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, CI/CD practices, and AI-assisted tools. Own troubleshooting and resolution of complex data platform issues, including production incidents, performance degradations, connectivity issues, replication concerns, and on-call support. Create, maintain, and continuously improve runbooks, SOPs, plans of action, operational checklists, and database support documentation. Key Metrics for the Role Maintain high database availability, with target uptime of 99.9% or higher for supported Aurora MySQL production workloads. Reduce production incidents and escalations through proactive monitoring, performance tuning, capacity planning, and operational readiness reviews. Improve database performance by tracking query latency, slow queries, read/write throughput, connection utilization, replication lag, and storage growth trends. Ensure backup, restore, failover, and DR readiness by validating RPO/RTO targets and completing periodic recovery and failover testing. Support timely completion of Aurora MySQL upgrades, patching, security hardening, TLS enablement, IAM-based access, and audit/compliance requirements. Increase automation coverage for repetitive database operations, validation checks, user management, monitoring, and deployment workflows. Contribute to cost optimization by identifying right-sizing opportunities, redundant resources, unused snapshots, and reserved-instance or Graviton migration opportunities. Maintain high-quality operational documentation, including SOPs, runbooks, deployment checklists, rollback plans, and production support playbooks. Must-Have Skills 6+ years of strong experience as a Senior Data Engineer or Database Engineer with deep hands-on expertise in Amazon Aurora MySQL. Advanced MySQL knowledge, including query optimization, indexing, execution plans, transactions, replication concepts, partitioning, and storage engine behavior. Experience owning and supporting data-intensive Aurora MySQL platforms in production environments. Solid understanding of AWS services related to data platforms, including Aurora/RDS, IAM, CloudWatch, S3, AWS Glue, and backup/restore capabilities. Proven ability to independently troubleshoot and resolve complex production issues across database, application, and infrastructure layers. Good-to-Have Skills Experience with Amazon Aurora PostgreSQL, MongoDB Atlas, or AWS DynamoDB. Familiarity with Databricks or similar analytics/lakehouse platforms. Understanding of modern data engineering patterns, including ETL/ELT, batch processing, near-real-time data movement, and streaming concepts. Knowledge of AI/ML concepts and practical use of AI-assisted tools for operational efficiency. Experience in regulated industries such as fintech, payments, banking, or financial services. Preferred Qualifications Experience with Infrastructure-as-Code tools such as Terraform or CloudFormation. Exposure to CI/CD practices for database deployments, schema changes, and data platform operations. AWS certifications related to data, database, solutions architecture, or cloud operations.
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 MySQL
		2	Working experience of Aurora PostgreSQL and MongoDB Atlas
		3	Solid understanding of AWS services related to the data platforms (Aurora/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		7-9 years of total experience, 5-8 years of relevant experience Bachelor's degree in information technology, Computer Science or Management Information Systems or equivalent work experience. AWS Certifications, MySQL Certifications
Language/Communication Level Rate (1= Not Important / 5= Integral) English required Other language(s) required		5/5 Yes
Candidate Review & Selection
Supplier Call date/time
Resume submittal deadline
Contact for initiate screening call(s)
Contact for Interview
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