Senior Data Engineer at Ciklum

, , India -

Full Time

Start Date

Immediate

Expiry Date

26 Aug, 26

Salary

0.0

Posted On

28 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Snowflake, AWS, Azure, GCP, ETL/ELT, Data Modeling, PCI Compliance, Distributed Data Processing, Kafka, Flink, Data Security, Financial Data Processing, API Integration, Data Governance

Industry

IT Services and IT Consulting

Description

Ciklum is looking for a Senior Data Engineer to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Senior Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. Project Description: Client builds infrastructure for payments across global markets. Its modular, flexible, and scalable technology enables leading companies to accept next-generation payments, provide a wide range of payout options, and leverage capabilities across card issuing, banking, risk, and fraud management services. We are seeking a Senior Data Engineer to support a large-scale modernization of a global clearing and settlement platform. The role involves re-architecting legacy data pipelines, enabling AI-assisted migration, and building scalable, secure, and high-performance data systems for transaction processing, reporting, and settlement workflows. Responsibilities: * Design and modernize complex ETL/ELT pipelines currently built on legacy systems for payments and settlement processing * Support migration of high-volume financial file systems (~68 daily files, 50+ formats) into a modern cloud-based architecture * Build scalable data ingestion frameworks for batch and near real-time transaction processing * Work on data transformation, validation, reconciliation, and file generation logic for clearing and settlement workflows * Collaborate on replacing legacy processor-based systems with a modern internal settlement engine * Implement data security, encryption (AES-256), tokenization, and PCI-compliant data handling practices * Enable AI-assisted data migration and intelligent file parsing using modern data engineering techniques * Work closely with product, architecture, and business teams to ensure accuracy of financial data flows and reporting systems * Optimize data pipelines to reduce latency, operational overhead, and processing costs (target ~60% efficiency improvement) Requirements: * 7–12 years of experience in Data Engineering or Data Platform roles * Strong expertise in Python, SQL, and distributed data processing systems * Experience with cloud data platforms (Snowflake, AWS, Azure, or GCP) * Strong knowledge of ETL frameworks, data modeling, and batch/stream processing * Experience handling high-volume transactional or financial data systems * Understanding of data security, encryption, and compliance standards (PCI preferred) * Experience working with file-based ingestion systems (SFTP, APIs, event-driven pipelines) * Familiarity with data governance, reconciliation, and auditability requirements Desirable: * Experience in payments, fintech, or banking clearing/settlement systems * Knowledge of Kafka, Flink, or real-time streaming architectures * Exposure to AI/ML-assisted data transformation or LLM-based automation * Experience with legacy system modernization programs * Familiarity with HSMs, tokenization systems, and merchant acquiring flows What`s in it for you? * Strong community: Work alongside top professionals in a friendly, open-door environment * Growth focus: Take on large-scale projects with a global impact and expand your expertise * Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications * Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies * Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations About us: At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game-changing solutions and take your career to the next level. Explore, empower, engineer with Ciklum! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum. #LI-MA1

Responsibilities

Design and modernize complex ETL/ELT pipelines to migrate legacy financial systems to a cloud-based architecture. Implement secure, high-performance data systems for transaction processing, reporting, and settlement workflows.