Data Analytics Engineer

Job Description

Collect, clean, and process data from multiple sources to ensure data accuracy and reliability.
Design and develop data pipelines and workflows to automate data ingestion and transformation.
Support the development of dashboards and reports using Power BI or similar visualization tools.
Collaborate with business teams to understand analytical requirements and translate them into data solutions.
Work closely with IT and BI teams to optimize data storage, models, and queries.
Assist in maintaining and improving data warehouses or data lakes.
Ensure compliance with data governance, security, and quality standards.
Troubleshoot data issues and support regular updates or refreshes of analytical datasets.
Document data processes, workflows, and technical specifications.
Stay current with emerging data engineering and analytics tools and best practices.
Desired Candidate Profile

Any Nationality

Bachelors in Computer Application, MBA/PG Diploma in Business Mgmt(Information Technology)

Any

2–3 years of experience in data analytics or data engineering.
Proficiency in SQL and data querying.
Hands-on experience with Power BI, Excel, or similar BI tools.
Understanding of ETL concepts and data integration.
Familiarity with Python or R for data analysis is an advantage.
Knowledge of data modeling, data warehousing, and database concepts.
Strong analytical and problem-solving skills.
Excellent attention to detail and data accuracy.
Good communication and teamwork skills.
Bachelor’s degree in Computer Science, Data Analytics, Information Systems, or a related field.