Bangalore, Karnataka, India
Information Technology
Full-Time
MagellanicCloud
Overview
What You'll Do
- SQL Development & Optimization : Write complex and optimized SQL queries, including advanced joins, subqueries, analytical functions, and stored procedures, to extract, manipulate, and analyze large datasets.
- Data Pipeline Management : Design, build, and support robust data pipelines to ensure timely and accurate data flow from various sources into our analytical platforms.
- Statistical Data Analysis : Apply a strong foundation in statistical data analysis to uncover trends, patterns, and insights from data, contributing to data-driven decision-making.
- Data Visualization : Work with various visualization tools (e.g., Google PLX, Tableau, Data Studio, Qlik Sense, Grafana, Splunk) to create compelling dashboards and reports that clearly communicate insights.
- Web Development Contribution : Leverage your experience in web development (HTML, CSS, jQuery, Bootstrap) to support data presentation layers or internal tools.
- Machine Learning Collaboration : Utilize your familiarity with ML tools and libraries (Scikit-learn, Pandas, NumPy, Matplotlib, NLTK) to assist in data preparation and validation for machine learning initiatives.
- Agile Collaboration : Work effectively within an Agile development environment, contributing to sprints and adapting to evolving requirements.
- Troubleshooting & Problem-Solving : Apply strong analytical and troubleshooting skills to identify and resolve data-related issues Skills Required :
- Expert in SQL (joins, subqueries, analytics functions, stored procedures)
- Experience building & supporting data pipelines
- Strong foundation in statistical data analysis
- Knowledge of visualization tools : Google PLX, Tableau, Data Studio, Qlik Sense, Grafana,
- Experience in web dev : HTML, CSS, jQuery, Bootstrap
- Familiarity with ML tools : Scikit-learn, Pandas, NumPy, Matplotlib, NLTK, and more
- Hands-on with Agile environments
- Strong analytical & troubleshooting skills
- Bachelor's in CS, Math, Stats, or equivalent
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