Senior Data Engineer

Luxoft; Pune District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Luxoft in Pune, India, is seeking a data engineer to design, develop, and support scalable data solutions for surveillance and regulatory reporting use cases. You will onboard new data sources, build ingestion pipelines, implement data quality controls, and enable governance across the platform.

The role emphasizes data modeling, Snowflake or similar cloud data warehousing, and strong SQL expertise. Collaboration with cross-functional teams and adherence to SDLC standards are essential.

Qualifications

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

Responsibilities

• 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

SQL

ETL

Tableau

Qlikview

Qliksense

Python

Data governance

Security

Compliance

Problem-solving

Analytical skills

Communication

Collaboration

Education

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

Tools

Snowflake

Job 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 efficient management of transactional and non-transactional/ reference data across the platform. The role will support both strategic initiatives and ongoing operational requirements.

Responsibilities:

• 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.

Mandatory Skills Description:

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.