Senior Analyst - Data Engineering Job in Latentview Analytics
Senior Analyst - Data Engineering
Latentview Analytics
4+ weeks ago
- Bengaluru, Bangalore Urban, Karnataka
- Not Disclosed
- Full-time
Job Summary
Role: Senior Analyst Data Engineering
Location: Bengaluru, Karnataka, India
Experience: 3 6 Years
Employment Type: Permanent, Full-Time
About the Role
We are looking for a results-driven Senior Data Engineer to join our high-performing data team in Bengaluru. The ideal candidate will have 3 6 years of experience in data engineering, AI/ML implementation, and working with large-scale databases like Snowflake and Teradata. If you're passionate about driving data-powered insights, building scalable solutions, and applying advanced machine learning and AI techniques, we want to hear from you.
Key Responsibilities
Key Skills & Technologies
Machine Learning & AI Techniques:
Why Join Us?
Location: Bengaluru, Karnataka, India
Experience: 3 6 Years
Employment Type: Permanent, Full-Time
About the Role
We are looking for a results-driven Senior Data Engineer to join our high-performing data team in Bengaluru. The ideal candidate will have 3 6 years of experience in data engineering, AI/ML implementation, and working with large-scale databases like Snowflake and Teradata. If you're passionate about driving data-powered insights, building scalable solutions, and applying advanced machine learning and AI techniques, we want to hear from you.
Key Responsibilities
- Design, develop, and implement machine learning models to solve complex business challenges.
- Apply AI techniques, including generative AI, NLP, and computer vision, to improve analytics capabilities.
- Use Tableau, Power BI, and other tools to develop insightful, interactive data dashboards.
- Manage and optimize large datasets using platforms like Snowflake, Teradata, and SQL/NoSQL databases.
- Collaborate with business and technical teams to translate requirements into robust data engineering solutions.
- Guide junior data professionals and foster a culture of learning and innovation.
- Communicate analytical findings clearly to non-technical stakeholders.
- Stay current with the latest in data science, machine learning, cloud platforms, and big data technologies.
Key Skills & Technologies
Machine Learning & AI Techniques:
- Supervised & unsupervised learning, deep learning, neural networks
- Reinforcement learning, decision trees, random forests, clustering
- NLP, computer vision, GANs, transfer learning
- Tableau, Power BI, Matplotlib, Seaborn, Plotly
- Python (essential), R, SQL
- TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy
- Snowflake, Teradata, SQL/NoSQL, ETL, data lakes, data warehousing
- AWS, Azure, Google Cloud Platform (GCP)
- Apache Spark, Hadoop
Why Join Us?
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