Data Engineer / Data Scientist - Pune ( only Local Candidates)

PLEASE READ BEFORE APPLYING: This position strictly requires relevant hands-on experience in Data Engineering / Data Science (Python, SQL, Spark, Cloud) as specified in the Job Description. Applications from unrelated fields (e.g., Salesforce, general IT support, non-technical domains) will be immediately rejected, and profiles will be barred from future job applications with our organization. Please apply only if your profile directly matches the technical criteria below. (ONLY PUNE CANDIDATE)
🔥 Job Title: Junior Data Scientist
To be considered for this position, you MUST meet the following two non-negotiable criteria:
Location Requirement: You must currently be based in Pune (or willing to relocate immediately for an onsite role).
Career Stability Requirement: You must have at least 2+ consecutive years of tenure in a single organization in your work history.
Applications from candidates outside Pune or profiles showing frequent job-hopping will be automatically filtered out.
💼 Experience Required: 4 to 12 Years
💎 Annual CTC Budget: Competitive / As Per Industry Standards
📍 Location: Pune, India (Onsite - Includes international travel to Singapore within 30-45 days of onboarding)
⚠️ MANDATORY CRITICAL MATCH CRITERIA:
✅ Experience: 4 to 12 years in Data Science and Data Engineering. Minimum 2 years of stability in previous organizations (no job-hopping).
✅ Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related fields.
✅ Core Skills: Data pipeline design, predictive modeling, machine learning, EDA, and data validation/quality testing.
✅ Software/Tools: Python, SQL, PySpark, Cloud Platforms (Azure/AWS/GCP), Airflow/ADF/Glue, Docker/Kubernetes.
✅ Communication: Excellent communication and stakeholder management skills. ✅ Logistics: Onsite position in Pune, India, with mandatory international travel to Singapore within 30–45 days of joining.
➡️ Position Overview
Looking for a hybrid Data Engineer / Data Scientist to design, build, and optimize scalable data pipelines while constructing predictive and classification models. This role bridges data engineering workflows with advanced machine learning applications to operationalize enterprise data solutions.
💼 Core Responsibilities
✔️ Pipeline Engineering: Design, build, and optimize scalable ETL/ELT data pipelines, data marts, and analytical datasets.
✔️ Predictive Modeling: Perform EDA, select appropriate foundation/ML models, and build predictive solutions for business insights.
✔️ Cloud & Orchestration: Leverage Azure, AWS, or GCP tools alongside orchestrators like Airflow, ADF, or Glue to automate workflows.
✔️ Quality Testing: Write and execute unit/integration test cases, monitoring data quality, consistency, and accuracy across systems.
✔️ Model Operations: Deploy, monitor, and maintain machine learning models in production environments while managing cloud resources.
How to Apply 🚨 If you meet the requirements, please email your resume to sandesh@amrapalisolutions.in with your Current CTC, Expected CTC, and Notice Period, or click the "Apply" button directly.
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Work arrangement
No