Data Engineer

We are looking for a highly experienced:

1. Finance Data Migration Lead
2. Procurement Data Migration Lead

to support a greenfield SAP S/4HANA implementation. This role will be responsible for leading the end-to-end migration of financial master and transactional data — ensuring data accuracy, integrity, and readiness across all stages of the project lifecycle.

Responsibilities:

• Act as the primary point of contact for finance data migration, collaborating with stakeholders to define scope, mapping rules, transformation logic, and reconciliation processes.
• Work closely with SAP consultants, business users, and data owners to align on data requirements and validation criteria.
• Oversee and coordinate technical teams on ETL design, ensuring it meets finance-specific needs and standards.
• Manage all stages of the data migration cycle — including mock migrations, dress rehearsals, cutover, and post-go-live activities.
• Organize workshops and provide guidance to finance teams to ensure smooth execution and stakeholder alignment.
• Identify and resolve data quality and reconciliation issues, driving root cause analysis and corrective actions.

What Success Looks Like:

• Accurate, complete, and timely migration of finance data objects.
• Seamless execution of mock cycles and final cutover.
• Strong engagement and alignment with finance stakeholders from planning through post-implementation.

Requirements:

• Proven experience in leading finance data migration for SAP S/4HANA or similar ERP implementations.
• SAP Experience on FI, PS or MM
• Strong knowledge of finance master and transactional data (GL, AP, AR, Fixed Assets, etc.).
• Excellent project coordination, stakeholder engagement, and problem-solving skills.
• Familiar with ETL tools, reconciliation techniques, and SAP data structures.

• Build and enhance Power BI reports, tailoring them to meet departmental needs and evolving data structures. Ensure reports are precise, actionable, and aligned with changing business objectives.
• Keep track of modifications in data structures resulting from system updates, evaluating their impact on existing Power BI reports. Adjust and fine-tune reports as necessary to ensure their accuracy and relevance.
• Maintain comprehensive documentation of data structures and any changes, supporting future report modifications and serving as a reference for ongoing updates.

• Bachelor’s Degree in Business Analytics, Information Systems, Computer Science, or a related field.
• At least 3 years of experience developing reports using Power BI.
• Minimum of 2 years of experience in IT system implementation projects, including involvement in global Business Process Reengineering (BPR) or system rollout initiatives.
• Experience working in Banking and Financial Services Industry
• Highly proactive, with a passion for learning and a deep understanding of customer business requirements.

Key Responsibilities:

• ETL Development: Use Talend to develop, optimize, and maintain ETL workflows for ingesting, processing, and transforming data from a variety of sources.
• Data Pipeline Design: Develop scalable, high-performance data pipelines using Apache Spark and Python for batch and real-time data processing.
• Data Integration: Extract and integrate data from multiple sources such as SQL Server, PostgreSQL, AWS Redshift, and Cloudera.
• Data Quality: Ensure data quality and consistency by building and implementing validation, cleansing, and transformation logic.
• Collaboration: Work closely with data scientists, business analysts, and other stakeholders to understand data requirements and support data-driven decision-making.
• Data Modeling: Assist in designing and developing database tables and schemas, including optimizing the performance of databases like MySQL, PostgreSQL, and NoSQL databases (e.g., MongoDB, Cassandra).
• Automation: Automate routine data management tasks using Python scripting, Talend, or other workflow automation tools.
• Troubleshooting & Optimization: Identify and resolve performance bottlenecks, data discrepancies, and pipeline failures.

Required Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.
• 3+ years of hands-on experience with Talend for ETL development.
• Strong proficiency in Spark, SQL and Python
• Extensive experience with Apache Spark for big data processing (both batch and streaming).
• Proficient in working with relational databases (SQL Server, PostgreSQL, MySQL) and non-relational databases (MongoDB, Cassandra).
• Solid understanding of data structures, database design, and data modeling.
• Strong problem-solving and troubleshooting skil