Data Analytics Engineer
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Job Description
Data Analytics Engineer supporting data governance decisions and ensuring high data quality for effective decision-making. Collaborating with cross-functional teams and enabling analytics capabilities.
Responsibilities:
- Support data, compliance, and environment governance processes for the assigned domain.
- Facilitate an intake process to reduce rework, promote reuse, and improve efficiency of analytics solutions.
- Collaborate with cross-functional teams to integrate data from warehouses, data lakes, and other sources to build models aligned to business needs.
- Cleanse and validate data to ensure report accuracy; maintain documentation of cleansing and transformation processes.
- Support analytics projects and generate business insights through reports, dashboards, and BI tools.
Requirements:
- Proficient in Python for data analysis, statistical modeling, and automation.
- Hands-on experience with Pandas, NumPy, SciPy, Plotly.
- Ability to build UI components and dashboards using Streamlit, Dash, Tkinter, etc.
- Strong SQL skills for querying, transforming, and analyzing relational data.
- Experience with complex joins, window functions, CTEs, aggregations, and query optimization.
- B. Tech/BE in Computer Science, IT, or related field (or equivalent education/experience).
- 1–3 years of hands-on experience with Python and SQL.
Benefits:
- Equal employment opportunities
- Training and guidance
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