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 Num Py for data analysis.
- Experience with Microsoft Excel, including Pivot Tables, 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 Big Query, Snowflake, or Redshift.
- Understanding of statistical analysis and predictive analytics.
- Experience working with large datasets.

Candidate Profile

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

📌 Data Engineer (Hyderabad)
🏢 Talent join
📍 Hyderabad