Envisioned Strategy and Consulting
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PostgreSQLJob Title: Senior Data Engineer
Position Summary
We are seeking a highly skilled Data Engineer with strong expertise in reporting infrastructure, data modeling, and analytics platforms. This role will focus on building scalable reporting solutions, optimizing data pipelines, and enabling data-driven decision-making across the organization. The ideal candidate will have deep experience with databases, data warehousing, and complex query development. While Ruby on Rails experience is beneficial, the primary emphasis is on data engineering and reporting systems.
Key Responsibilities
- Design, develop, and maintain reporting infrastructure and data platforms.
- Build and optimize complex SQL queries, data models, and reporting datasets.
- Develop scalable ETL/ELT pipelines and data integration processes.
- Design and maintain database schemas to support analytics and reporting requirements.
- Collaborate with business stakeholders to understand reporting needs and translate them into technical solutions.
- Implement data quality, governance, and performance best practices.
- Support and enhance enterprise reporting solutions and dashboards.
- Work with large-scale datasets in cloud data warehouse environments.
- Troubleshoot reporting issues and optimize database performance.
- Partner with engineering and product teams to establish sustainable data architecture.
Must Have: Technical Skills
- PostgreSQL
- Snowflake
- Advanced SQL
- Data Modeling
- Data Warehousing
- Reporting & Analytics Infrastructure
- ETL/ELT Development
- Query Performance Tuning
Success Profile:
The ideal candidate is a data-focused engineer who enjoys working with complex datasets, designing scalable reporting solutions, and building foundational infrastructure that empowers analytics and business intelligence teams. They should be comfortable navigating databases, optimizing queries, and translating business reporting needs into robust technical implementations.
Experience Range: 5-10 years
Role Type: Individual Contributor / Senior Engineer
Primary Focus: Reporting Infrastructure, Data Engineering, Data Warehousing, and Analytics Enablement.
Python
Flask4+ years of python coding and object oriented programming.
4+ years working on Flask, Gunicorn, Installing PYPI packages and maintaining python environment
Experience in QA automation testing
4+ years of using Jupyter/Eclipse/Spyder IDE
Experience with Bash scripting
Experience with Data preparation and basics of Pandas
Good Database skills with SQL/NoSQL commands and queries – SQL Alchemy.
Knowledge on writing web services like SOAP/REST services.
Experience in AI tools like GHCP, Claude.
NodeJS (Node.js)
React.js
Spring Boot
JavaDesign, develop, and maintain scalable enterprise applications using Node.js, Java Spring Boot, Microservices, React JS, and RESTful APIs, ensuring high availability, performance, and security.
Lead end-to-end full-stack development activities, including solution design, backend services, front-end development, API integrations, and database design across complex business applications.
Develop responsive and intuitive user interfaces using React JS, JavaScript/TypeScript, HTML5, CSS3, Redux, and modern UI component libraries.
Drive engineering excellence through code reviews, unit testing, CI/CD implementation, DevOps practices, performance tuning, and adherence to coding and security standards.
Collaborate with architects, product owners, and cross-functional teams in an Agile/Scrum environment.
Responsibilities and JD
Job Description: We are looking for a Senior Developer with strong expertise in PySpark, Databricks, and Snowflake to build scalable data engineering solutions and enterprise data platforms.
Key Responsibilities:
- Design, develop, and maintain ETL/ELT pipelines using PySpark, Databricks, and Snowflake.
- Develop batch and real-time data processing solutions for structured and semi-structured data.
- Build and optimize Databricks notebooks, workflows, and Delta Lake solutions.
- Design and implement Snowflake databases, schemas, views, stored procedures, tasks, and streams.
- Develop scalable data models, data marts, and data warehouse solutions.
- Optimize PySpark jobs, Databricks workloads, and Snowflake queries for performance and cost efficiency.
- Implement data quality, validation, governance, and security controls.
- Collaborate with business stakeholders, architects, and cross-functional teams to deliver data solutions.
- Manage source control and CI/CD deployments using Git and Azure DevOps.
- Troubleshoot production issues, perform root cause analysis, and ensure pipeline reliability.
- Mentor junior team members and participate in code reviews and technical design discussions.
Required Skills: PySpark, Databricks, Snowflake, Python, SQL.
Experience: 5+ years of Data Engineering experience with strong hands-on expertise in PySpark, Databricks, and Snowflake.
About the job:
We're hiring a Technical Product & Project Manager to help turn client requirements into well-defined products and make sure those products are delivered successfully. You'll work across product management, project management, client communication, delivery, and rapid prototyping. This is a full-time, work-from-office role in Hyderabad for someone who enjoys working at the intersection of business, product, design, technology, and delivery.
About us:
We're a new age tech & business services company. We're HQ'ed in Hyderabad with clients across the world.
What You'll Do
TL;DR: Understand what clients need, define what needs to be built, work closely with engineers to get it built, and take ownership of delivering the final outcome.
● Work with clients and business stakeholders to understand requirements, workflows, problems, and desired outcomes
● Translate business requirements into clear product requirements, user stories, PRDs, and acceptance criteria
● Define product scope, priorities, milestones, deliverables, and success criteria
● Take ownership of project delivery from initial requirements through final implementation
● Work closely with engineers to clarify requirements, answer questions, and keep development moving
● Make sure projects are progressing as expected and proactively address issues that could impact delivery
● Coordinate across engineers, designers, clients, and other stakeholders to keep everyone aligned
● Regularly communicate project status, demos, risks, decisions, and next steps to clients
● Gather client feedback and translate it into clear, actionable changes for the engineering team
● Create quick prototypes, mockups, and proof-of-concepts using AI coding tools such as Cursor, Claude Code, Codex, Replit, Lovable, or similar
● Identify gaps, edge cases, usability issues, and unclear requirements early in the development process
● Maintain clear documentation around requirements, project status, decisions, scope changes, and delivery
● Help ensure the final product is functional, usable, polished, and ready for the client
Qualifications
TL;DR: We're looking for someone who can understand business problems, define products clearly, work effectively with engineers, manage delivery, and use modern AI tools to rapidly turn ideas into prototypes.
You Are:
● 2 to 5 years into your career in product management, project management, business analysis, software delivery, or a similar role
● Someone who is comfortable working with both business stakeholders and software engineers
● Comfortable taking ownership of a project from requirements through delivery
● Highly organized and able to keep multiple moving pieces on track
● Comfortable working through ambiguity and turning unclear ideas into clear requirements and action items
● Technically curious and able to understand how modern software applications are built
● Someone who enjoys using AI tools to rapidly turn ideas into working prototypes
● Comfortable presenting work in progress and discussing tradeoffs directly with clients
● Someone who cares about the quality and usability of the final product, not just whether tasks were completed
● Someone with a good eye for design, user experience, and how software should feel to use
Must-haves:
● Experience gathering and documenting business and product requirements
● Experience writing PRDs, user stories, acceptance criteria, or similar product documentation
● Experience working directly with software engineering teams
● Strong project management and delivery skills
● Ability to track tasks, milestones, dependencies, blockers, risks, and timelines
● Ability to take ownership of delivery and drive projects through completion
● Strong written and verbal communication skills
● Ability to communicate technical concepts clearly to non-technical stakeholders
● Ability to communicate business requirements clearly to engineers
● Comfortable presenting product demos, progress updates, and project status to clients
● Strong problem-solving and organizational skills
● Comfortable using AI tools and AI coding agents to create prototypes and proof-of-concepts
● Basic understanding of APIs, databases, frontend/backend applications, and modern software development
● Good product judgment and attention to user experience
Nice-to-haves:
● Previous experience as a software engineer, business analyst, technical product manager, or technical project manager
● Experience working in a consulting or client services environment
● Strong visual and product design sense
● Experience creating wireframes, mockups, or prototypes using Figma or similar tools
● Experience with AI coding tools such as Cursor, Claude Code, Codex, Replit, Lovable, or similar
● Experience with tools such as Jira, Linear, Asana, Notion, or similar
● Familiarity with SQL and basic data analysis
● Experience working on AI, analytics, or software engineering projects
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