🚀 We’re Hiring – Data Engineer - Google Cloud Platform (GCP) – ZenYData Technologies Private Limited 🚀 At the forefront of Data Automation & Data Management in Kolkata, we are on the lookout for passionate, innovative, and experienced Data Engineers ready to take on exciting challenges in Google Cloud Platform (GCP). 📌 Job Title: Data Engineer – Google Cloud Platform (GCP) 🏢 Company: ZenYData Technologies Pvt Ltd ( https://zenydata.com/ ) 📍 Location: Kolkata, India 🕐 Type: Full-time ✨ About Us At ZenYData, we help businesses transform the way they work by delivering smart, data-driven solutions. Our expertise in Data Management, Process Optimization, and AI-powered insights enables organizations to make faster, smarter decisions. 👨💻 Role Overview We are seeking an experienced Data Engineer with strong expertise in GCP services. You will design, build, and optimize scalable data pipelines and workflows using BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer, enabling data-driven business transformation. ✅ Qualifications ✔ 2+ years of relevant experience on Google Cloud Platform (GCP) ✔ Hands-on expertise with BigQuery, Dataflow, Dataproc, Pub/Sub ✔ Strong proficiency in Python scripting and Advanced SQL ✔ Experience with ETL/ELT pipeline design, orchestration, and optimization ✔ Knowledge of data modeling, warehousing, and performance tuning ✔ Experience with Cloud Composer (Airflow on GCP) ✔ Familiarity with Looker Studio or other BI tools (preferred) ✔ Strong problem-solving skills and ability to collaborate effectively 🌟 Why Join Us? ✔ Work on cutting-edge cloud-first data solutions in GCP ✔ Gain mentorship and growth opportunities with industry leaders ✔ Collaborate with a forward-thinking and innovative team ✔ Hands-on exposure to BigQuery, Dataflow, Python, and SQL ✔ Continuous learning in a rapidly evolving cloud environment 📩 Application Process Interested candidates are invited to send their resumes and a brief cover letter highlighting their experience and interest in the role to: 👉 hr@zenydata.com / subhojit.ghosh@zenydata.com
Experience: 10 + years Job Location: Remote Notice Period: 30 days GenAI Data Governance Consultant, 10+ Years of Experience - REMOTE Scope of work includes - model risk management, ensuring GenAI models are performing and doing as per expectations, ensuring models are fair and not biased, and explainability. This could be a Senior Data scientist with exposure to such roles Define and implement data governance frameworks tailored for GenAI initiatives, ensuring compliance, security, and ethical use of data. Collaborate with business, data, and technology teams to establish policies, standards, and controls for AI/ML datasets. Support data lineage, metadata management, and data quality processes to ensure reliable inputs for GenAI models. Advise on responsible AI practices, covering bias detection, explainability, and regulatory compliance. Partner with stakeholders to prioritize data governance requirements and embed them into AI solution delivery lifecycle.
Experience: 6 -8years Job Location: Remote Notice Period: 30 days ML Engineer, 6-8 Years of Experience -Remote Ability and experience to deploy ML/ AI/ GenAI models on Snowflake; Strong experience on Snowflake procedures and tasks Design and implement pipelines using Snowpark Excellent Python skills - environment setup and dependency management, coding as per best practices - knowledge of automatic code review tools like Linting and Black Experience in writing SQL code (intermediate level) Experience in orchestrating machine learning pipelines using MLOPs best practices Experience in DevOps with CI/CD knowledge (Git in Azure Devops) Experience in model monitoring (drift detection, and performance monitoring) Experience on Snowflake Cortex (good to have) Fundamentals of Data engineering Docker based deployment is good to have
Experience: 8+ years Job Location: REMOTE/CHENNAI Notice Period: 30 days ML Architect/Data Engineer, 8 YOE in Data Science/Engineering & 2 YOE as Solution Architect - REMOTE We are seeking an experienced ML Architect to design, lead, and implement advanced artificial intelligence and machine learning solutions. The ideal candidate will have deep expertise in machine learning frameworks, data pipelines, model lifecycle management, and cloud-based AI services. Key Responsibilities: Design end-to-end ML architectures including data ingestion, model development, training, deployment, and monitoring. Evaluate and select appropriate ML algorithms, frameworks and cloud platforms (e.g., Azure , Snowflake). Guide teams in model operationalization (MLOps), versioning, and retraining pipelines. Ensure AI/ML solutions align with business goals, performance, and compliance requirements. Collaborate with cross-functional teams on data strategy, governance, and AI adoption roadmap. Preferred Qualifications: Strong background in Computer Science, Data Science, or a related field. 8+ years of experience in data science, with at least 2 years in a solution architecture role. Proficiency in Python, ML libraries, and cloud-native services. Experience with large-scale model deployment and performance tuning.