Sr. Data Migration Engineer

Cloudelligent; Islamabad; On-site; PKR 60,000 - 80,000; Full time

Job summary

A technology consultancy firm is seeking a Senior Data Migration Engineer in Islamabad to drive data conversion for LegalTech SaaS projects. The role requires expertise in data migration, advanced SQL skills, and Python programming. Candidates should have at least 4 years of relevant experience, strong analytical abilities, and excellent communication skills. This position plays a critical role in ensuring clients' data is clean and ready for deployment.

Qualifications

• 4+ years in data migration, ETL engineering, or ERP/SaaS system integration.
• Advanced SQL skills including joins, CTEs, and performance tuning.
• Strong communication skills and ability to work cross-functionally.

Responsibilities

• Analyze legacy data structures and design conversion strategies.
• Collaborate with project managers to understand mapping requirements.
• Write and optimize complex SQL queries for data extraction.

Skills

Data migration

ETL engineering

Advanced SQL

Python

Excel/Power Query

Job description

Position Title: Sr. Data Migration Engineer

Job Timings: 8am-5pm CST

Location: Islamabad

About Cloudelligent

Cloudelligent is a Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to the Startups, SMB & enterprise segment. Being a next gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer- obsessed.

Job Objective

We’re looking for a Senior Data Migration Engineer to drive the data conversion work that powers successful LegalTech SaaS implementations. As firms move from legacy tools to modern platforms, your work ensures that their financial, operational, and practice data is clean, accurate, and ready for day‑one use. You’ll lead the full ETL lifecycle analyzing legacy structures, mapping data to modern schemas, running test conversions, validating results, and supporting a seamless go‑live experience.

Responsibilities

• Analyze legacy financial and practice-management data structures and design end-to-end conversion strategies.
• Collaborate with project managers and implementation consultants to understand mapping requirements and business rules.
• Translate functional requirements into clear, scalable technical migration plans.
• Extract data from SQL databases, CSV exports, APIs, and other legacy sources.
• Write and optimize complex SQL queries (joins, CTEs, validation queries, reconciliation logic).
• Develop Python scripts or reusable ETL tools to automate recurring processes and improve consistency.
• Build and maintain detailed data-mapping documentation across all migration objects.
• Perform dry‑run migrations and validate data accuracy across financial and operational modules.
• Execute final production loads and deliver reconciliation reports for billing, WIP, AR, GL, and related datasets.
• Investigate and resolve anomalies, data gaps, or logic errors across multiple data sources.
• Create detailed technical documentation, mapping dictionaries, transformation logic, and conversion specifications.
• Serve as a primary technical partner to project managers, implementation consultants, and client IT teams.
• Clearly communicate data issues, risks, and recommendations in both technical and non-technical terms.
• Help build and enhance migration templates, automation scripts, and best‑practice playbooks.
• Identify opportunities to streamline processes, reduce manual work, and strengthen data quality.

Requirements

• 4+ years in data migration, ETL engineering, data conversion, or ERP/SaaS system integration.
• Advanced SQL skills (joins, CTEs, schema work, validation logic, troubleshooting, performance tuning).
• Strong Excel/Power Query skills and Python experience (Pandas/NumPy a plus).
• Experience with structured and semi-structured file formats (CSV, JSON, XML).
• Demonstrated ability to analyze complex datasets, identify patterns, and resolve data‑quality issues.
• Experience executing multi‑object migration cycles (dry runs, reconciliations, cutovers).
• Strong documentation habits and the ability to produce clear technical specifications.
• Excellent communication skills and comfort working cross‑functionally with non‑technical stakeholders.
• Experience in legal‑tech, professional services, or financial systems is a plus.