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 prospects.
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.
Solid 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