Project description

As part of Client Technology team, the data Engineer will work to design, develop, and support scalable data solutions that underpin strong engineering practices, implicit data controls and the functional requirements for effective surveillance and regulatory reporting use cases. The scope will focus on onboarding new data sources, developing data ingestion and transformation pipelines, implementing data quality controls, supporting lineage and metadata requirements, and enabling effective management of transactional and non-transactional/ reference data across the platform. The role will support both strategic initiatives and ongoing operational requirements.

Responsibilities

Key Deliverables

Onboarding and integration of new surveillance and transaction data sources.

Development and maintenance of data pipelines and ingestion frameworks.

Implementation of data quality rules, monitoring, and exception management processes.

Optimization of data processing performance and platform scalability.

Support for data lineage, metadata management, and governance objectives.

Resolution of data-related production issues and operational support activities.

Delivery of technical documentation and adherence to SDLC and control standards.





Skills

Must have

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

Experience

Minimum of 8 years of experience in data engineering, with a strong focus on SQL and data manipulation.

Proven experience working with Snowflake or other cloud-based data warehousing solutions.

Experience with Tableau

Strong background in designing data model and building scalable data pipelines and data models.

Solid understanding of financial instruments, investment operations, investment reporting and portfolio management concepts.

Knowledge of investment performance measurement, risk analysis, and portfolio management concepts.

Skills

Expert-level proficiency in SQL, with the ability to write complex queries and optimize them for performance.

Strong experience with ETL tools and processes.

Familiarity with Tableau, Qlikview, Qliksense

Familiarity with programming languages such as Python.

Knowledge of data governance, security, and compliance best practices.

Excellent problem-solving and analytical skills.

Strong communication and collaboration skills.

📌 Senior Data Engineer (Maharashtra)
🏢 Luxoft
📍 Maharashtra