Design, build, and maintain scalable ETL pipelines and Python data workflows. Perform statistical analysis, optimize queries and pipelines, clean and validate large datasets, troubleshoot failures, document solutions, and collaborate with cross-functional teams to deliver reliable data solutions and insights.
Senior Data Engineer / Data Scientist
Experience: 3–5 Years
Job Type: Full-Time
We are looking for a skilled Senior Data Engineer / Data Scientist with 3–5 years of hands-on experience in Python, ETL pipeline development, statistical analysis, and data optimization. The ideal candidate should be comfortable working with large datasets, building reliable data pipelines, performing statistical analysis, and translating data into meaningful insights.
- Design, develop, and maintain robust and scalable ETL pipelines for data extraction, transformation, and loading.
- Develop efficient data processing and transformation workflows using Python.
- Perform statistical analysis on structured and unstructured datasets to identify trends, patterns, and business insights.
- Optimize data pipelines, queries, and data processing workflows for improved performance and scalability.
- Clean, validate, transform, and prepare data for analytics and reporting.
- Work with cross-functional teams to understand data requirements and deliver reliable data solutions.
- Identify data quality issues and implement appropriate validation and cleansing processes.
- Develop reusable and maintainable Python scripts and data processing solutions.
- Troubleshoot pipeline failures and resolve data-related issues.
- Document data workflows, pipelines, processes, and technical solutions.
- Ensure data solutions follow best practices for performance, reliability, and maintainability.
- 3–5 years of relevant experience in Data Engineering, Data Science, Analytics Engineering, or a similar role.
- Strong hands-on experience with Python.
- Strong experience in ETL pipeline development and data transformation.
- Solid understanding of statistical analysis and statistical concepts.
- Experience with data optimization, including query and pipeline performance optimization.
- Strong SQL skills and experience working with relational databases.
- Experience working with large datasets and data processing workflows.
- Strong analytical and problem-solving skills.
- Ability to work independently as well as collaborate effectively with technical and business teams.
- SAS experience is highly preferred.
- Experience with SAS programming, SAS data processing, or SAS analytics.
- Exposure to cloud data platforms such as AWS, Azure, or GCP.
- Experience with data visualization and reporting tools.
- Knowledge of data warehousing and database concepts.
- Familiarity with modern data engineering tools and frameworks.
Similar Jobs
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Manages indirect material planning, procurement coordination, inventory accuracy, tooling orders and maintenance, and WIP management for semiconductor assembly and test operations. Drives manufacturing improvements through AI, automation, dashboards, and real-time issue resolution. Maintains process documentation, supports quality and regulatory compliance, and collaborates cross-functionally to improve production flow and achieve operational KPIs.
Top Skills:
Artificial IntelligenceAutomationDashboardsData Visualization SoftwareMesSAP
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Responsible for starting up, developing and optimizing assembly/process equipment to improve yield, quality, cost and productivity. Diagnose and resolve manufacturing issues using FMEA, SPC, DOE and failure analysis. Lead yield improvement, supplier/material management, process qualifications and integrate AI/data-driven methods for predictive control, anomaly detection and analytics-driven decision support.
Top Skills:
Ai/MlAnomaly DetectionData AnalyticsDesign Of Experiments (Doe)Failure Mode And Effects Analysis (Fmea)Machine LearningMesPredictive Process ControlStatistical Process Control (Spc)Wafer Dicing
Cloud • Information Technology • Security • Software • Cybersecurity
Drive customer acquisition and management for Zscaler’s AI cybersecurity platform. Responsibilities include strategic prospecting, pipeline development, lead qualification, consultative selling, articulating AI security value, partnering with Sales Engineers, developing tailored propositions, and representing the company at industry events. The role requires full-cycle software or security sales experience, customer-facing go-to-market expertise, AI/ML understanding, executive communication, and familiarity with MEDDIC.
Top Skills:
Ai/MlCybersecurityGenerative AiZero Trust Exchange
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
