B2B Content Writer | Elearning course creator

1. Roadmap & Strategy (The "Why")

• Own the product roadmap for the Data Platform, prioritizing features like real-time ingestion, data quality frameworks, and self-service analytics.
• Translate high-level business questions (e.g., "We need to track customer churn in real-time") into technical requirements for ETL pipelines.
• Define Service Level Agreements (SLAs) for data freshness, availability, and quality.

2. Technical Execution (The "What")

• Write detailed Technical Product Requirements (PRDs) that specify source-to-target mappings, transformation logic, and API integration requirements.
• Collaborate with Data Engineers to decide on architecture trade-offs (e.g., Batch vs. Streaming, Build vs. Buy).
• Champion the adoption of Data Observability tools to detect pipeline failures before business users do.

3. Data Governance & Quality

• Define and enforce data modeling standards (Star Schema, Snowflake Schema).
• Ensure compliance with privacy regulations (GDPR/CCPA/DPDP) regarding how data is ingested, stored, and masked.
• Manage the "Data Dictionary" to ensure all stakeholders understand what specific metrics actually mean.

4. Stakeholder Management

• Act as the primary liaison between Data Producers (Software Engineers sending data) and Data Consumers (BI Analysts, Data Scientists).
• Manage dependencies: If the backend team changes a database column, ensure your ETL roadmap accounts for it.

🎓 What We Are Looking For

Technical "Must-Haves":

• SQL Mastery: You can write complex queries to explore data, validate transformations, and debug issues. You don't wait for an analyst to pull data for you.
• ETL Knowledge: Deep understanding of data integration concepts: Change Data Capture (CDC), Batching, Streaming, Upserts, and Idempotency.
• Data Modeling: You understand Dimensional Modeling, Data Lakes vs. Data Warehouses, and normalization/denormalization.
• API Fluency: You understand how to pull data from 3rd party REST/GraphQL APIs and handle rate limits/pagination.

Product Skills:

• Experience writing technical specs for backend/data teams.
• Ability to prioritize technical debt vs. new features.
• Strong communication skills to explain "Data Latency" to non-technical executives.

Preferred Tech Stack Exposure:

• Orchestration: Airflow, Dagster, or Prefect.
• Warehousing: Snowflake, BigQuery, or Redshift.
• Transformation: dbt (data build tool).
• Streaming: Kafka or Kinesis.

Responsibilities:

Design, develop, and maintain web applications using the MERN stack (MongoDB, Express, React, and Node.js)

Work closely with the team to understand business requirements and deliver solutions

Implement and maintain blockchain-based solutions using various blockchain platforms

Write clean, maintainable, and efficient code

Collaborate with cross-functional teams to ensure the technical feasibility of UI/UX designs

Participate in code reviews and contribute to the development of best practices and standards

Stay up-to-date with the latest web development trends and technologies

Requirements:

2+ years of experience in web development using the MERN stack

Experience with blockchain technology, such as Ethereum, Bsc, Solana,

L2 solutions of Ethereum(Optimisms, Polygon).

Strong proficiency in JavaScript, React, Node.js, and MongoDB

Knowledge of RESTful API/GraphQl design and development

Understanding of Hashing algorithms.

Familiarity with Git, Agile methodologies, and continuous integration and deployment

Ability to work in a fast-paced and dynamic environment

Strong communication and collaboration skills

If you're a highly motivated and experienced MERN Stack Developer with a passion for blockchain technology, we'd love to hear from you!

Job Highlights

• Must be proficient in PHP,WordPress MVC,MySQL,CSS,HTML,JavaScript,AJAX,JSON Should possess strong experience on Symfony
• Must have experience in API Development
• Good knowledge of relational databases,version control tools and of developing web services Solve complex performance problems and architectural challenges
• 1 -3 years experience with PHP-framework based Development

Job description

• Looking for a PHP Developer responsible for managing back-end services and the interchange of data between the server and the users. His primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to request from the front-end. Therefore, a basic understanding of front-end technologies is necessary as well.

Key Responsibilities

• Head responsibility to evaluate, design, develop and assist application systems. Integration of user-facing elements developed by front-end developers.
• Build efficient, testable, and reusable PHP modules.
• Integration of data storage solutions & Contribute in all phases of the development lifecycle. Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality.
• Develop and deploy new features to facilitate related procedures and tools if necessary.

Requirements:

• Strong programming experience in javascript, HTML/CSS.
• Experience of creating and consuming REST APIs and SOAP services.
• Strong knowledge and awareness of Web Technologies and current web trends.
• Working knowledge of Security in Web applications and services.
• experience in using the NodeJS framework with good understanding of the underlying architecture is a plus
• Experience of deploying web applications on Linux servers in production environment.

• Excellent communication skills.
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• Experienced in creating microcopy that will drive visitors towards taking the right actions across our website
• Experienced in writing technical documents like product sheets, product manuals, technical guides, tutorials, etc
• Experienced in proofreading and editing content copies
• Experienced in creating content as per our Ideal Customer Profile
• Work with the marketing team for generating fresh content ideas
• Should have basic knowledge of search engine optimization
• Experienced in creating concise, eye-catching, and innovative headlines and a body of technical documents.
• Experience- 5-10years
• Salary -5-15lpa

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Author data services using a variety of programming languages
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Snowflake Cloud Datawarehouse as well as SQL and Azure ‘big data’ technologies
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and Azure regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Work in an Agile environment with Scrum teams.
• Ensure data quality and help in achieving data governance.

• 3+ years of experience in a Data Engineer or Software Engineer role
• Undergraduate degree required (Graduate degree preferred) in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Experience using the following software/tools:
• Experience with “Snowflake Cloud Datawarehouse”
• Experience with Azure cloud services: ADLS, ADF, ADLA, AAS
• Experience with data pipeline and workflow management tools
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Understanding of Datawarehouse (DWH) systems, and migration from DWH to data lakes/Snowflake
• Understanding of ELT and ETL patterns and when to use each. Understanding of data models and transforming data into the models
• Strong analytic skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Experience supporting and working with cross-functional teams in a dynamic environment.