We are looking for a Senior Data Analytics Engineer to join our IoT project. The ideal candidate has strong expertise in Python, Pandas, Plotly, and related data analysis tools, and is passionate about transforming complex data into clear, actionable insights.
Responsibilities:
Design, develop, and maintain data analytics solutions using Python and modern libraries (Pandas, NumPy, Plotly, etc.).
Work with large datasets: data cleaning, transformation, aggregation, and visualization.
Build dashboards and interactive reports to support business decision-making.
Collaborate with cross-functional teams (data scientists, software engineers, product managers) to define data requirements and ensure data quality.
Implement best practices to ensure performance, scalability, and reproducibility of analytics workflows.
Requirements:
4+ years of professional experience in data analytics or data engineering.
Strong proficiency in Python with hands-on experience in Pandas for data wrangling.
Solid experience with data visualization tools (Plotly, Dash, or similar).
Good understanding of databases (SQL, PostgreSQL, or others).
Experience working with large datasets and optimizing data pipelines.
Strong problem-solving skills and ability to work independently.
English proficiency: upper-intermediate or higher.
Nice to Have:
Experience with cloud platforms (AWS, GCP, or Azure).
Familiarity with machine learning workflows.
Knowledge of CI/CD practices for analytics projects.
Conditions:
Salary in US dollars.
Medical insurance and coverage of sports activities.
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