Sr. Data Migration Engineer

Cloudelligent; Lahore; On-site; PKR 2,000,000 - 2,750,000; Full time

Job summary

A cloud-native consultancy in Lahore seeks a Senior Data Migration Engineer to lead data conversion for LegalTech SaaS implementations. The role involves analyzing legacy data structures, developing ETL strategies, and ensuring data accuracy during migrations. Ideal candidates have 4+ years of relevant experience, strong SQL skills, and proficiency in Python. This position offers the chance to work with a diverse team and to contribute to impactful cloud solutions.

Qualifications

• 4+ years in data migration, ETL engineering, or ERP/SaaS system integration.
• Strong Excel/Power Query skills and Python experience.
• Demonstrated ability to analyze complex datasets and resolve data-quality issues.

Responsibilities

• Analyze legacy data structures and design conversion strategies.
• Collaborate with project managers for mapping requirements.
• Extract data from SQL databases and optimize queries.
• Develop ETL tools to automate processes.

Skills

Data migration experience

Advanced SQL skills

Excel/Power Query skills

Python experience

Data quality resolution

Documentation habits

Communication skills

Job description

Position Title: Sr. Data Migration Engineer

Job Timings: 8am-5pm CST

Location: Lahore

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.