Fingent - Data Engineer - Power BI/Tableau (4-8 yrs)

Role : Data Engineer

Experience : 4 - 8 yrs

About Us :

At Fingent, we believe that what we build touches lives around us. We use technology to create a better and smarter environment. We nurture thought leaders and encourage them to be the seeds of change through smart software development and consulting services. Our commitment to quality and integrity helps us to use technology and create a better and smarter future.

Job Summary :

We are seeking a skilled and motivated Data Engineer with a strong background in Advanced SQL, Performance Fine Tuning, and Data Analysis. In this role, you will work closely with cross functional teams to design, build, and optimize data pipelines, ensuring that our data infrastructure is scalable, efficient, and meets business requirements. Experience in ETL processes and visualization tools like PowerBI or Tableau is a plus.

Skill Sets :

- 4 years of Proven experience in Advanced SQL and query optimization.

- Knowledge in C# is an advantage.

- Strong knowledge of database performance fine tuning techniques.

- Experience with data analysis, data cleaning, and data validation.

- Familiarity with ETL tools and processes.

- Proficiency in PowerBI, Tableau, or Excel for data visualization and reporting.

- Strong problem-solving skills and attention to detail.

- Excellent communication and collaboration skills.

Key Responsibilities :

- Develop, optimize, and maintain complex SQL queries for data extraction, manipulation, and reporting.

- Perform database performance fine tuning to ensure efficient processing of large data sets.

- Collaborate with data analysts, data scientists, and other stakeholders to gather and understand business data requirements.

- (Optional) Design and implement ETL processes to ensure smooth data flow from various sources to data warehouses.

- (Optional) Create data visualizations using PowerBI, Tableau, or Excel to provide actionable insights.

- Monitor and troubleshoot data pipelines to ensure data accuracy, quality, and timely delivery.

- Ensure data security and compliance with company policies and industry regulations.