GuhaTek - Senior Data Analyst - Data Migration

About the Role:

We are looking for a detailed-oriented Data Migration Analyst to drive data validation, mapping, and reconciliation for a large-scale data platform transformation. You will work directly with platform engineers and technical source systems to ensure high-quality data transfer into our modern Data Lake environment.

Skills Required:

- Advanced SQL Development

- Data Lineage & Mapping

- Data Quality & Reconciliation

- Source System Analysis

- Data Lake Architecture

- Agile Methodology

- Stakeholder Management & Technical Documentation

Requirements:

- Proven experience in data migration, reconciliation, and validation activities.

- Experience working with Data Lakes and large-scale data platforms (e.g., AWS, Snowflake, Databricks).

- Hands-on experience analysing and querying technical/platform data directly from source systems.

- Strong understanding of data structures, schemas, and data quality principles.

- Demonstrated ability to work independently in a fast-paced, Agile environment.

- Strong attention to detail and investigative problem-solving mindset.

- Bachelors degree in Computer Science, Data Engineering, Information Systems, or equivalent experience.

Nice To Have:

- Banking or Financial Services industry experience.

- Exposure to ledger, finance, or regulatory datasets.

- Experience supporting enterprise-level digital transformation programmes.

- Working knowledge of scripting languages like Python or PySpark for automated data checks.

- Familiarity with data governance tools such as Collibra, Alation, or Informatica.

Responsibilities:

- Analyse and validate large volumes of technical data supporting migration initiatives.

- Perform data mapping, reconciliation, and data quality assessments.

- Develop and execute complex SQL queries for data extraction and analysis.

- Work closely with engineering and platform teams to understand source systems and data models.

- Investigate data anomalies and support troubleshooting activities.

- Document data lineage, mappings, validation processes, and findings.

- Support testing and migration validation activities.

- Collaborate with business analysts and governance teams to ensure compliance and schema accuracy.