Data Engineer

Review Criteria:

Mandatory:

• Strong B2C Brand Marketing Profile
• Must have 3+ years of experience as a marketer preferably across tech, mobility, energy, fintech, or high-growth apps
• Must have experience executing end-to-end brand and consumer campaigns across Instagram, WhatsApp, content platforms, ATL/BTL, and on-ground activations.
• Must have strong experience in digital storytelling, including social content, creator/influencer collaborations, product videos, and explainer assets
• Strong ability to turn business targets into creative strategies that drive measurable outcomes
• Must have at least 1 year of experience managing a team of marketers
• B2C Product companies
• Candidates must be comfortable working on the 1st and 3rd Saturday of every month.

Preferred:

• Experience in EV, mobility, consumer apps, ecosystem brands, or categories that require behaviour change.

Role & Responsibilities:

You will lead the company's B2C marketing engine end-to-end: brand, content, category education, community, and on-ground activation. You will work closely with sales, product, and creative teams to drive measurable business outcomes.

• This is a role for someone who wants to build from scratch, shape a category, and influence
• the experience of millions of EV users in India.

Key Responsibilities:

• Brand Leadership & Strategy: Build and scale a company's B2C brand with a narrative that cuts across 2W, 3W, 4W riders, drivers, homeowners, and urban professionals.
• Conceptualise and execute end-to-end brand and consumer campaigns across Instagram, WhatsApp, ATL, BTL, and on-ground activations.
• Lead consumer understanding exercises to shape new identify whitespace consumer segments and behavioural triggers that can unlock adoption and usage.
• Oversee the creation of high-quality social content, creator collaborations, product videos, and explainer assets. Manage agency partners, production partners, and internal creative resources.
• Manage, mentor, and scale the organic marketing team including social media and content creators.

Ideal Candidate:

• 3–5 years of experience in consumer marketing, ideally across tech, mobility, energy, fintech, or high-growth apps.
• Proven track record in leading brand campaigns, digital storytelling, and communication strategy.
• Demonstrated ability to turn business targets into creative strategies that drive measurable outcomes.
• Experience working cross-functionally and influencing product, growth, and creative teams.
• Comfortable building from scratch and thriving in a high-ownership, high-velocity environment.
• Bonus: experience in EV, mobility, consumer apps, ecosystem brands, or categories that require behaviour change.

Role & Responsibilities:

We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency — with a preference for GCP / BigQuery expertise.

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows
• Work with Dataform or DBT to implement transformation logic and data models
• Develop and optimize data solutions on GCP (BigQuery, GCS) or AWS/Azure
• Support data migration initiatives and data mesh architecture patterns
• Collaborate with analysts, scientists, and business stakeholders to deliver reliable data products
• Apply data governance and quality best practices across the data lifecycle
• Troubleshoot pipeline issues and drive proactive monitoring and resolution

Ideal Candidate:

• Strong Data Engineer Profile
• Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.
• Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.
• Must have hands-on experience with any one of the following: Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.
• Must have working experience on any cloud platform: GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).
• Must have strong SQL skills with experience in writing complex queries and optimizing performance.
• Must have programming experience in Python and/or SQL for data processing.
• Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.
• Exposure to data migration projects and/or data mesh architecture concepts.
• Experience with Spark / PySpark or large-scale data processing frameworks.
• Experience working in product-based companies or data-driven environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

NOTE:

• There will be an interview drive scheduled on 28th and 29th March 2026, and if shortlisted, they will be expected to be available on these Interview dates. Only Immediate joiners are considered.

About the Role

At Ceryneian, we’re building a next-generation, research-driven algorithmic trading platform aimed at democratizing access to hedge fund-grade financial analytics. Headquartered in California, Ceryneian is a fintech innovation company dedicated to empowering traders with sophisticated yet accessible tools for quantitative research, strategy development, and execution.

Our flagship platform is currently under development. As a Backend Engineer, you will play a foundational role in designing and building the core trading engine and research infrastructure from the ground up. Your work will focus on developing performance-critical components that power backtesting, real-time strategy execution, and seamless integration with brokers and data providers. You’ll be responsible for bridging core engine logic with Python-based strategy interfaces, supporting a modular system architecture for isolated and scalable strategy execution, and building robust abstractions for data handling and API interactions. This role is central to delivering the reliability, flexibility, and performance that our users will rely on in fast-moving financial markets.

We are a remote-first team and are open to hiring exceptional candidates globally.

Core Tasks

·      Build and maintain the trading engine core for execution, backtesting, and event logging.

·      Develop isolated strategy execution runners to support multi-user, multi-strategy environments.

·      Implement abstraction layers for brokers and market data feeds to offer a unified API experience.

·      Bridge the core engine language with Python strategies using gRPC, ZeroMQ, or similar interop technologies.

·      Implement logic to parse and execute JSON-based strategy DSL from the strategy builder.

·      Design compute-optimized components for multi-asset workflows and scalable backtesting.

·      Capture real-time state, performance metrics, and slippage for both live and simulated runs.

·      Collaborate with infrastructure engineers to support high-availability deployments.

Top Technical Competencies

·      Proficiency in distributed systems, concurrency, and system design.

·      Strong backend/server-side development skills using C++, Rust, C#, Erlang, or Python.

·      Deep understanding of data structures and algorithms with a focus on low-latency performance.

·      Experience with event-driven and messaging-based architectures (e.g., ZeroMQ, Redis Streams).

·      Familiarity with Linux-based environments and system-level performance tuning.

Bonus Competencies

·      Understanding of financial markets, asset classes, and algorithmic trading strategies.

·      3–5 years of prior Backend experience.

·      Hands-on experience with backtesting frameworks or financial market simulators.

·      Experience with sandboxed execution environments or paper trading platforms.

·      Advanced knowledge of multithreading, memory optimization, or compiler construction.

·      Educational background from Tier-I or Tier-II institutions with strong computer science fundamentals, a passion for scalable system design, and a drive to build cutting-edge fintech infrastructure.

What We Offer

·      Opportunity to shape the backend architecture of a next-gen fintech startup.

·      A collaborative, technically driven culture.

·      Competitive compensation with performance-based bonuses.

·      Flexible working hours and a remote-friendly environment for candidates across the globe.

·      Exposure to financial modeling, trading infrastructure, and real-time applications.

·      Collaboration with a world-class team from Pomona, UCLA, Harvey Mudd, and Claremont McKenna.

Ideal Candidate

You’re a backend-first thinker who’s obsessed with reliability, latency, and architectural flexibility. You enjoy building scalable systems that transform complex strategy logic into high-performance, real-time trading actions. You think in microseconds, architect for fault tolerance, and build APIs designed for developer extensibility.

• Identifies business opportunities by identifying prospects and evaluating their position in the industry; researching and analysing sales options.
• Sells products by establishing contact and developing relationships with prospects; recommending solutions.
• Prepares reports by collecting, analysing, and summarizing information.
• Creating his own network by recruiting candidates and make them understand business plan.
• observe the issues related to stockpoint and customer & trying to provide the solutions to it.
• Contributes to team effort by accomplishing related results as needed.