About the Role
We are looking for a Big Data Engineer with 2–5 years of experience in designing, building, and operating large-scale data processing systems, preferably on Google Cloud Platform
(GCP). This role is suited for engineers who understand modern data architectures and are comfortable working across multiple stages of the data lifecycle.
We do not expect expertise in every GCP data service. Instead, candidates should have
strong hands-on experience in at least one service from each core data area listed below
and the ability to learn and adapt to new tools quickly.
Key Responsibilities
● Design, develop, and maintain scalable data pipelines on GCP.
● Build batch and streaming data processing workflows using managed cloud services.
● Develop and maintain data transformation workflows using SQL and Python.
● Create and manage workflow orchestration using DAG-based schedulers.
● Collaborate with analytics, product, and engineering teams to deliver reliable datasets.
● Optimize data pipelines for performance, cost, and reliability.
● Ensure data quality, monitoring, and observability across pipelines.
● Participate in code reviews and contribute to data engineering best practices.
Core Experience Areas (At Least One From Each)
1. Data Warehousing & Analytics
● BigQuery
● Dataproc (Spark / Hadoop)
● Other cloud data warehouse or analytics platforms
2. Data Processing and Pipelines
● Dataflow (Apache Beam)
● Cloud Run Jobs / Cloud Run Services
● Apache Spark (batch or streaming)
● dbt for transformations
3. Databases & Storage
● Bigtable
● Cloud Storage
● Relational databases (PostgreSQL, MySQL, Cloud SQL)
● NoSQL databases
4. Data Preparation Exploration
● SQL-based data analysis
● Python for data manipulation (Pandas, PySpark)
● Exploratory data analysis on large datasets
Workflow Orchestration & Scheduling
● Cloud Composer (Airflow)
● Cloud Scheduler
● Experience creating and maintaining DAGs in Python
Required Skills & Qualifications
● 2–5 years of experience in data engineering or big data processing.
● Hands-on experience with Google Cloud Platform (preferred).
● Strong proficiency in Python and SQL.
● Understanding of distributed data processing concepts.
● Experience with CI/CD, Git, and production-grade data systems.
● Ability to work across ambiguous problem statements and evolving requirements.
AI & System Mindset
Experience working with AI-powered systems is a strong plus. Candidates should be
comfortable integrating AI agents, third-party APIs, and automation workflows into
applications, and should demonstrate curiosity and adaptability toward emerging AI technologies.
Good to Have
● Experience with streaming data (Pub/Sub, Kafka).
● Cost optimization experience on cloud data platforms.
● Exposure to AI/ML pipelines or feature engineering.
● Experience working in product-driven or startup environments.
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Shubham Vishwakarma
Full Stack Developer - Averlon
About ByteFoundry AI
About
AI-native vertical SaaS, shipped in weeks not years
ByteFoundry.ai is a forward-thinking technology company on a mission to harness the power of artificial intelligence to solve real-world business challenges. We partner with organizations that want to accelerate innovation, streamline operations, and unlock new opportunities through smart, scalable AI solutions.
At ByteFoundry.ai, we believe that modern businesses deserve intelligent tools that adapt to their needs — not the other way around. Our focus is on building practical, high-impact AI-driven products and services that make complex data actionable, automate tedious tasks, and empower teams to work faster and smarter.
Whether you’re looking to deploy machine learning models, automate workflows, improve customer experiences, or integrate AI into existing systems, ByteFoundry.ai brings together deep technical expertise and a results-first mindset to help you compete in the digital age.
Driven by innovation, guided by ethical AI practices, and committed to long-term partnerships with clients, ByteFoundry.ai is shaping the future of how companies use technology to grow and thrive.
Check out the founder's profile here: https://www.linkedin.com/in/abhijitsmane/?originalSubdomain=in
Tech stack
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PythonCandid answers by the company
Many critical industries still operate on outdated, monolithic software built a decade or more ago
Manual workarounds—spreadsheets, emails, and ad-hoc approvals—introduce delays, errors, and hidden costs
Modernizing these systems is slow and expensive, often requiring long implementation cycles and significant capital
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon