Experienced Data Engineer Required
Budget: ₹100 – ₹400 INR
Responsibilities:
Collaborate with data leads to understand business requirements and translate them into effective data solutions.
Design, develop and optimize data models, applying basic data modeling concepts to support reporting and analytics using SQL and python
Work with BI tools such as Power BI, Metabase, or Superset to support data visualization and reporting needs.
Implement data validation and testing procedures to ensure high-quality and reliable data outputs.
Follow best practices in data engineering to enhance the scalability and maintainability of data solutions.
Provide regular project updates, proactively communicate challenges, and collaborate with team members to resolve any issues.
Qualifications
3+ years of experience in data engineering or analytics.
Proficiency in SQL and Python for data manipulation, transformation, and analysis.
Hands-on experience with BI tools (Power BI, Metabase, Superset)
Basic understanding of data modeling concepts and experience in data validation and testing.
Strong problem-solving skills and the ability to quickly learn new technologies.
Excellent communication skills and a proactive attitude to keep team members and stakeholders informed.
Ability to work independently with minimal supervision
I need resources to work with my client and the evaluation session will be there with the client based on the evaluation session the project will be awarded.
The discussion will be held in Google meet or zoom meeting. I will need the profiles(resumes) of the resources who're going to work with my client.
Collaborate with data leads to understand business requirements and translate them into effective data solutions.
Design, develop and optimize data models, applying basic data modeling concepts to support reporting and analytics using SQL and python
Work with BI tools such as Power BI, Metabase, or Superset to support data visualization and reporting needs.
Implement data validation and testing procedures to ensure high-quality and reliable data outputs.
Follow best practices in data engineering to enhance the scalability and maintainability of data solutions.
Provide regular project updates, proactively communicate challenges, and collaborate with team members to resolve any issues.
Qualifications
3+ years of experience in data engineering or analytics.
Proficiency in SQL and Python for data manipulation, transformation, and analysis.
Hands-on experience with BI tools (Power BI, Metabase, Superset)
Basic understanding of data modeling concepts and experience in data validation and testing.
Strong problem-solving skills and the ability to quickly learn new technologies.
Excellent communication skills and a proactive attitude to keep team members and stakeholders informed.
Ability to work independently with minimal supervision
I need resources to work with my client and the evaluation session will be there with the client based on the evaluation session the project will be awarded.
The discussion will be held in Google meet or zoom meeting. I will need the profiles(resumes) of the resources who're going to work with my client.