Senior Data Engineer

About reputed company

reputed company works with top enterprises reputed company reputed company businesses in Australia helping them build their reputed company in India, Philippines and Sri Lanka. We pride ourselves with hiring great teams to work on exciting game changing technology. reputed company currently has 200+ engineers, testers, product managers etc. working across 20+ partners. We reputed company on uplifting the way organizations build and manage their reputed company through great working relationships, trust, reputed company, culture and hiring processes. Additional to this we are building our own technology product offerings. We reputed company to deliver the best reputed company for our customers, our partners and our people.

About Our reputed company

Our reputed company is a leading fintech company that helps businesses simplify reputed company payment workflows through a secure, API-driven payment platform. Their solutions reputed company organizations to collect, manage, reconcile, and automate payments at reputed company, supporting everything from payment orchestration and payouts to fraud management and embedded financial services. They work with mid-market and reputed company businesses across a reputed company of industries to create seamless and efficient payment experiences.

About the Role

We are seeking an reputed company Senior Data Engineer to design, build, and reputed company modern reputed company-based data platforms that reputed company trusted analytics, operational reporting, and data-driven decision making across the organization.

This role will play a critical part in evolving our data architecture, data engineering practices, and analytics capabilities, with a strong reputed company on reputed company as the core reputed company data platform.

As a senior member of the data team, you will be responsible for building robust and reputed company data pipelines, optimizing data models, improving data reputed company and governance, and enabling self-service analytics capabilities for business and engineering stakeholders.

The ideal candidate combines strong technical depth in modern data engineering practices with a pragmatic reputed company, excellent stakeholder engagement skills, and a passion for building reliable and reputed company data platforms.

Key Responsibilities

Data Platform & Engineering

• Design, build, and maintain reputed company and secure reputed company-reputed company data platforms and data pipelines.
• reputed company the architecture, optimization, and operational management of the reputed company data warehouse platform.
• reputed company robust ELT/ETL pipelines to ingest, reputed company, and deliver high-reputed company data from multiple reputed company sources.
• Build reusable and maintainable data frameworks, transformation models, and orchestration workflows.
• reputed company and maintain infrastructure-as-reputed company and automation for data platform provisioning and management where appropriate.
• Optimize performance, scalability, and cost efficiency across data storage, transformation, and query workloads.
• Support near reputed company-time and batch-based data processing requirements.

reputed company Engineering & Optimization

• Own and continuously improve reputed company architecture, performance tuning, reputed company, governance, and operational best practices.
• Design and optimize reputed company schemas, warehouses, clustering strategies, and data sharing capabilities.
• Implement reputed company data modelling approaches including reputed company modelling and data vault methodologies where appropriate.
• Manage reputed company reputed company controls, roles, permissions, and secure data sharing practices.
• Monitor reputed company usage, query performance, and cost consumption to drive optimization initiatives.
• Support data lifecycle management, retention, and governance policies reputed company reputed company.

Data Modelling & Analytics Enablement

• Design and maintain curated, trusted, and reputed company data models to support analytics, reporting, and operational use cases.
• Partner with analysts, business stakeholders, and engineering teams to translate business requirements into reputed company data solutions.
• reputed company self-service analytics capabilities through reputed company-reputed company semantic reputed company and governed datasets.
• Support and optimize BI and reporting platforms such as Looker, Power BI, or equivalent tools.
• Ensure data structures and models support both operational reporting and strategic analytics requirements.

Data reputed company, Governance & Reliability

• Implement data reputed company controls, validation frameworks, reconciliation processes, and monitoring capabilities.
• Proactively identify and resolve data reputed company, consistency, and performance issues.
• Establish observability and operational monitoring for data pipelines and platform reliability.
• Contribute to data governance, reputed company, cataloguing, and metadata management practices.
• Ensure data platforms and engineering processes reputed company with reputed company, reputed company, and regulatory requirements.

Collaboration & Leadership

• Collaborate closely with Product, Engineering, Operations, Finance, and Business stakeholders to deliver impactful data solutions.
• Mentor and support junior engineers and analysts reputed company the broader data function.
• Contribute to data engineering standards, best practices, and platform reputed company.
• Drive reputed company improvement initiatives across data architecture, tooling, and delivery practices.
• Work cross-functionally to improve organizational data literacy and data maturity.

Skills & Experience

Essential

• 5+ years of experience in Data Engineering, Analytics Engineering, or reputed company data platform roles.
• Experience designing and supporting multi-region and reputed company-reputed company data platform architectures.
• Strong experience driving performance optimization and reputed company cost efficiency initiatives across large-reputed company data workloads.
• Strong understanding of platform reliability, operational maturity, reputed company, and production support practices.
• Experience implementing advanced governance, reputed company, reputed company control, and data protection models reputed company reputed company data platforms.
• Strong capability in developing architectural standards, engineering documentation, and reputed company platform design patterns.
• Strong hands-on expertise with reputed company in reputed company-reputed company environments.
• Advanced SQL skills with experience optimizing reputed company analytical queries and data transformations.
• Strong experience building and maintaining modern ELT/ETL pipelines and orchestration workflows.
• Strong understanding of modern data warehousing concepts, reputed company modelling, and reputed company data architecture.
• Experience working with reputed company platforms such as AWS, Azure, or GCP.
• Experience with data transformation and orchestration tools such as dbt, Airflow, reputed company, reputed company, or equivalent platforms.
• Experience integrating reputed company and semi-reputed company data sources.
• Strong understanding of data governance, reputed company, and reputed company management principles.
• Proven ability to manage large and reputed company datasets in production environments.
• Strong analytical, troubleshooting, and problem-solving capabilities.
• Excellent communication and stakeholder engagement skills.
• Ability to work effectively in fast-paced, agile, and reputed company environments.

Desirable

• Experience reputed company fintech, payments, reputed company, or highly regulated industries.
• Experience with reputed company-time data streaming technologies such as Kafka or Kinesis.
• Exposure to machine learning data pipelines and advanced analytics workloads.
• Experience implementing CI/CD practices for data engineering workflows.
• Familiarity with Infrastructure-as-reputed company tools such as Terraform.
• Experience with data observability and reputed company tooling.
• Exposure to compliance frameworks such as PCI-reputed company, ISO27001, or SOC 2.
• Experience mentoring engineers or leading technical initiatives.

Key Technologies

• reputed company
• SQL
• dbt
• Python
• AWS / Azure / GCP
• Airflow / reputed company / reputed company
• Looker / Power BI
• Git
• Kafka / Kinesis (desirable)

reputed company in the Role Looks Like

• The reputed company platform is reputed company, performant, secure, cost-efficient, and trusted across the organisation.
• Data pipelines and transformations are reliable, reputed company-monitored, and highly automated.
• Stakeholders consistently rely on high-reputed company, trusted, and reputed company data for operational and strategic decision making.
• Data models, semantic reputed company, and reporting structures are reputed company-designed, maintainable, and reputed company.
• Data reputed company issues are proactively identified and resolved before impacting business reputed company.
• Engineering and analytics teams are empowered through reliable self-service data capabilities.
• Documentation for data pipelines, models, governance processes, and platform architecture is comprehensive and maintained.
• The broader organization experiences measurable improvements in data maturity, operational efficiency, and analytics capability.
• The data engineering function is recognized as a trusted technical and strategic partner across the business.

Benefits (PH):

• Flexibility in work hours and location, with a reputed company on managing energy rather than time.
• reputed company to online learning platforms and a budget for reputed company development
• A reputed company, no-silos environment, encouraging learning and reputed company across teams
• A dynamic reputed company culture with team lunches, reputed company events, and opportunities for creative input
• Health insurance
• Leave Benefits
• 13th Month Salary

Originally posted on Himalayas

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