Data Engineer

Role Overview

We are looking for a skilled Data Engineer with strong analytical, data interpretation, and problem-solving abilities. The ideal candidate will have hands-on experience with SQL, Python, Excel, and data visualization tools to analyze large datasets and generate meaningful business insights.

Key Responsibilities

• Collect, clean, validate, and analyze large datasets from multiple sources.
• Write complex SQL queries to extract, transform, and manipulate data.
• Develop interactive dashboards and reports using Power BI or Tableau.
• Analyze data to identify trends, patterns, and business opportunities.
• Work with stakeholders to understand business requirements and provide data-driven insights.
• Perform data validation, reconciliation, and quality checks.
• Automate recurring reports and analytical processes.
• Prepare reports and presentations to communicate findings to business teams.
• Collaborate with data engineering and business teams to improve data accuracy and availability.

Required Technical Skills

• Strong hands-on experience with SQL, including joins, subqueries, CTEs, and window functions.
• Good knowledge of Python libraries such as Pandas and NumPy for data analysis.
• Experience with Microsoft Excel, including PivotTables, VLOOKUP/XLOOKUP, and macros.
• Hands-on experience with Power BI or Tableau.
• Knowledge of data visualization, dashboard development, and reporting.
• Understanding of ETL processes, data warehousing, and data modeling.
• Strong analytical and problem-solving skills.

Good to Have

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of BigQuery, Snowflake, or Redshift.
• Understanding of statistical analysis and predictive analytics.
• Experience working with large datasets.

Candidate Profile

• Strong communication and stakeholder management skills.
• Ability to translate business requirements into analytical solutions.
• Good attention to detail and data accuracy.