
Role: Full-Time, Long-Term Required: Python, SQL Preferred: Experience with financial or crypto data
OVERVIEW
We are seeking a data engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build robust, production-grade data infrastructure and grow with a small, focused team. You will own the data layer that feeds our machine learning pipeline—from ingestion and validation through transformation, storage, and delivery.
The ideal candidate is meticulous about data quality, thinks deeply about failure modes, and builds systems that run reliably without constant attention. You understand that downstream ML models are only as good as the data they consume.
CORE TECHNICAL REQUIREMENTS
Python (Required): Professional-level proficiency. You write clean, maintainable code for data pipelines—not throwaway scripts. Comfortable with Pandas, NumPy, and their performance characteristics. You know when to use Python versus push computation to the database.
SQL (Required): Advanced SQL skills. Complex queries, query optimization, schema design, execution plans. PostgreSQL experience strongly preferred. You think about indexing, partitioning, and query performance as second nature.
Data Pipeline Design (Required): You build pipelines that handle real-world messiness gracefully. You understand idempotency, exactly-once semantics, backfill strategies, and incremental versus full recomputation tradeoffs. You design for failure—what happens when an upstream source is late, returns malformed data, or goes down entirely. Experience with workflow orchestration required: Airflow, Prefect, Dagster, or similar.
Data Quality (Required): You treat data quality as a first-class concern. You implement validation checks, anomaly detection, and monitoring. You know the difference between data that is missing versus data that should not exist. You build systems that catch problems before they propagate downstream.
WHAT YOU WILL BUILD
Data Ingestion: Pipelines pulling from diverse sources—crypto exchanges, traditional market feeds, on-chain data, alternative data. Handling rate limits, API quirks, authentication, and source-specific idiosyncrasies.
Data Validation: Checks ensuring completeness, consistency, and correctness. Schema validation, range checks, freshness monitoring, cross-source reconciliation.
Transformation Layer: Converting raw data into clean, analysis-ready formats. Time series alignment, handling different frequencies and timezones, managing gaps.
Storage and Access: Schema design optimized for both write patterns (ingestion) and read patterns (ML training, feature computation). Data lifecycle and retention management.
Monitoring and Alerting: Observability into pipeline health. Knowing when something breaks before it affects downstream systems.
DOMAIN EXPERIENCE
Preference for candidates with experience in financial or crypto data—understanding market data conventions, exchange-specific quirks, and point-in-time correctness. You know why look-ahead bias is dangerous and how to prevent it.
Time series data at scale—hundreds of symbols with years of history, multiple frequencies, derived features. You understand temporal joins, windowed computations, and time-aligned data challenges.
High-dimensional feature stores—we work with hundreds of thousands of derived features. Experience managing, versioning, and serving large feature sets is valuable.
ENGINEERING STANDARDS
Reliability: Pipelines run unattended. Failures are graceful with clear errors, not silent corruption. Recovery is straightforward.
Reproducibility: Same inputs and code version produce identical outputs. You version schemas, track lineage, and can reconstruct historical states.
Documentation: Schemas, data dictionaries, pipeline dependencies, operational runbooks. Others can understand and maintain your systems.
Testing: You write tests for pipelines—validation logic, transformation correctness, edge cases. Untested pipelines are broken pipelines waiting to happen.
TECHNICAL ENVIRONMENT
PostgreSQL, Python, workflow orchestration (flexible on tool), cloud infrastructure (GCP preferred but flexible), Git.
WHAT WE ARE LOOKING FOR
Attention to Detail: You notice when something is slightly off and investigate rather than ignore.
Defensive Thinking: You assume sources will send bad data, APIs will fail, schemas will change. You build accordingly.
Self-Direction: You identify problems, propose solutions, and execute without waiting to be told.
Long-Term Orientation: You build systems you will maintain for years.
Communication: You document clearly, explain data issues to non-engineers, and surface problems early.
EDUCATION
University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Engineering. Equivalent demonstrated expertise also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of a data pipeline you built and maintained, (3) Links to relevant work if available, (4) Availability and timezone.

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We are seeking a creative and detail-oriented UI/UX Designer to join our team. The ideal candidate will have a passion for designing intuitive and engaging user experiences. You will work closely with product managers, developers, and other stakeholders to translate business requirements into user-centric designs that delight our customers.
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Nice to Have:
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Why Join Us:
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Company Overview
We are a dynamic startup dedicated to empowering small businesses through innovative technology solutions. Our mission is to level the playing field for small businesses by providing them with powerful tools to compete effectively in the digital marketplace. Join us as we revolutionize the way small businesses operate online, bringing innovation and growth to local communities.
Job Description
We are seeking a skilled and experienced Data Engineer to join our team. In this role, you will develop systems on cloud platforms capable of processing millions of interactions daily, leveraging the latest cloud computing and machine learning technologies while creating custom in-house data solutions. The ideal candidate should have hands-on experience with SQL, PL/SQL, and any standard ETL tools. You must be able to thrive in a fast-paced environment and possess a strong passion for coding and problem-solving.
Required Skills and Experience
- Minimum 5 years of experience in software development.
- 3+ years of experience in data management and SQL expertise – PL/SQL, Teradata, and Snowflake experience strongly preferred.
- Expertise in big data technologies such as Hadoop, HiveQL, and Spark (Scala/Python).
- Expertise in cloud technologies – AWS (S3, Glue, Terraform, Lambda, Aurora, Redshift, EMR).
- Experience with queuing systems (e.g., SQS, Kafka) and caching systems (e.g., Ehcache, Memcached).
- Experience with container management tools (e.g., Docker Swarm, Kubernetes).
- Familiarity with data stores, including at least one of the following: Postgres, MongoDB, Cassandra, or Redis.
- Ability to create advanced visualizations and dashboards to communicate complex findings (e.g., Looker Studio, Power BI, Tableau).
- Strong skills in manipulating and transforming complex datasets for in-depth analysis.
- Technical proficiency in writing code in Python and advanced SQL queries.
- Knowledge of AI/ML infrastructure, best practices, and tools is a plus.
- Experience in analyzing and resolving code issues.
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- Proficiency with the Git version control system.
- Experience with Agile development methodologies.
- Strong problem-solving skills and the ability to learn quickly.
- Exposure to Docker and Kubernetes.
- Familiarity with AWS or other cloud platforms.
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- Collaborate with the development team to design, develop, and maintain our suite of products.
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- Participate in code reviews and testing to ensure high-quality code.
- Troubleshoot and debug application issues as needed.
- Stay up-to-date with emerging trends and technologies in the development community.
How to apply?
- If you are passionate about designing user-centric products and want to be part of a forward-thinking company, we would love to hear from you. Please send your resume, a brief cover letter outlining your experience and your current CTC (Cost to Company) as a part of the application.
Join us in shaping the future of e-commerce!
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We’re a team of finance and technology enthusiasts who enjoy revolutionizing the investment industry through digital products & services. We’re building the next generation investment management platform for our financial professional customers so they can build better investment portfolios & help their clients retire in style.
About the role:
We’re looking for a full stack engineer to be part of a team of talented engineers and help us build high quality financial products that we launch to the market via partnerships with banks and broker-dealers. The candidate should be an innovator, highly technical, and passionate about speed, quality, and building amazing products. The candidate should also have demonstrated success in scaling platforms. Our team operates in a start-up environment with the backing of a large, industry leader and we actively cultivate a culture of innovation and excellence. The ideal candidate should enjoy working in this setting.
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To us, a Technical Interviewer is a go-to person for technical interviews for any technology. This means that your duties will involve conducting technical interview rounds of candidates having a technical background of any kind.
The job of a Technical Interviewer is important to business success. Hiring the right talent is our most critical point and a vital aspect of a complete Technical Interviewer’s job description and specification.
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FrontEnd Developer - ReactJs & Angular
Rejolut is among the fastest-growing and award winning Tech companies working on leading technologies namely Blockchain, Machine Learning & Artificial Intelligence, Complex mobile & Web Apps, IoT, etc.Rejolut is a venture-backed company with clients in over several countries namely Malaysia Airlines,gba global,my-earth,biomes, Dlg-hub,etc.
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Position Summary:
Job Title: Angular Developer
Experience: 4+ Years
Mode of Hire: Permanent
Notice Period: Max. 15 - 30 Days (Early Joiners are preferred).
What we are looking for?
Should have overall 4+ years of IT experience
Experience working on Angular (4 and above version)
Experience working on Javascript, JQuery
Experience working on NGRX.








