Role Overview We are looking for a skilled Data Engineer with solid 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.

📌 Data Engineer (AWS, SQL) (Hyderabad)
🏢 Talent join
📍 Hyderabad