Lead Database Migration Engineer

🕒 July 8

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 30%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mactores

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2008

💼 Consulting

🏢 Enterprise

Consulting • Enterprise • Data

Mactores is a company that provides end-to-end data platform solutions aimed at accelerating business value through automation. Since 2008, Mactores has been helping businesses with digital transformation, offering services like Enterprise Data Lakes, Scalable Databases, Modern Data Warehouses, Automated DataOps, MLOps, and Generative AI solutions. They focus on enabling faster and cost-effective migrations and modernizations in data analytics, partnering with leading platforms to drive innovation and success. Mactores works alongside tech teams to strategize and implement the right data solutions timely and efficiently.

📋 Description

• Lead end-to-end database migration initiatives, including assessment, planning, schema conversion, execution, and post-migration validation. • Design, configure, and manage AWS DMS and SCT environments while ensuring migration quality, performance, and reliability. • Author comprehensive migration runbooks that define execution procedures, validation checkpoints, rollback plans, and operational readiness activities. • Perform database migration assessments, dependency analysis, compatibility reviews, and migration strategy recommendations. • Collaborate with infrastructure, application, security, and platform teams to ensure successful migration outcomes. • Drive migration testing activities, including functional validation, performance testing, failover testing, and production readiness reviews. • Provide technical leadership and guidance to migration teams while ensuring adherence to AWS migration best practices and governance standards. • Lead conversion and refactoring of procedural database code — Oracle PL/SQL (packages, procedures, functions, triggers, cursors) and SQL Server T-SQL (stored procedures, functions, triggers) — into PostgreSQL/Aurora PostgreSQL PL/pgSQL, resolving semantic and behavioral differences identified by SCT.

🎯 Requirements

• 8–12 years of professional experience in database architecture and migration delivery • Hands-on expertise in AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT) for enterprise-scale database migrations • Deep proficiency in Oracle, SQL Server, PostgreSQL, and Aurora PostgreSQL environments, including migration planning, execution, and optimization • Proven background in delivering heterogeneous database migrations across on-premises, cloud, and AWS environments • Knowledge of production database operations, including backup and restore strategies, parameter tuning, performance optimization, and failover testing • Skills in authoring and executing migration runbooks, validation plans, cutover procedures, rollback strategies, and post-migration stabilization activities • Strong understanding of AWS database services, migration best practices, and integration with broader cloud migration programs • Experience engaging directly with enterprise customers, architecture teams, and migration stakeholders to drive successful delivery outcomes • Strong hands-on experience converting Oracle PL/SQL and SQL Server T-SQL business logic to PL/pgSQL, including handling of exception handling models, cursor semantics, autonomous transactions, sequences/identity columns, implicit data type conversions, and proprietary built-in packages/functions with no native PostgreSQL equivalent • Ability to identify and remediate SCT action items and manual conversion gaps in procedural code (e.g., DBMS_* packages, UTL_* utilities, SQL Server system procedures, dynamic SQL, and nested/recursive procedure calls) and validate converted logic through functional and regression testing.