Senior Data Engineer

EduRun Group; Indore District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

EduRun Group is seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and architectures that support analytics and business intelligence initiatives.

The role requires strong Python/PySpark, SQL, and data warehousing knowledge, with experience in Power BI and cloud services (Azure/AWS/GCP). You will collaborate with data scientists, analysts, and stakeholders to ensure reliable, accessible data across the organization.

Qualifications

• Proficiency in Python and PySpark for data processing.
• Strong SQL skills for data querying and transformations.
• Experience with data visualization using Power BI and DAX.
• Familiarity with cloud platforms (Azure, AWS, GCP).
• Understanding of data warehousing concepts and best practices.
• Excellent problem-solving and communication abilities.

Responsibilities

• Design and implement scalable data pipelines.
• Develop ETL/ELT processes across sources to data warehouses.
• Collaborate with data scientists and analysts to meet requirements.
• Optimize data models and queries for performance.
• Ensure data quality and governance through testing.
• Stay updated with evolving data technologies.

Skills

Python

PySpark

SQL

Communication

Problem solving

Attention to detail

Tools

Power BI

DAX

Databricks

Snowflake

Azure Data Factory

Azure

AWS

GCP

Job description

We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering and a passion for building scalable data solutions. As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines and architectures that support our data analytics and business intelligence initiatives. You will work closely with data scientists, analysts, and other stakeholders to ensure that data is accessible, reliable, and actionable.

Key Responsibilities

• Design and implement robust data pipelines using tools such as Databricks, Snowflake, and Azure Data Factory.
• Develop ETL/ELT processes to extract, transform, and load data from various sources into data warehouses.
• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
• Optimize data models and queries for performance and scalability.
• Ensure data quality and integrity through rigorous testing and validation processes.
• Stay updated with the latest trends and technologies in data engineering and analytics.

Required Skills

• Proficiency in Python and PySpark for data processing and analysis.
• Strong SQL skills for querying and manipulating data.
• Experience with data visualization tools such as Power BI and DAX.
• Familiarity with cloud platforms like Azure, AWS, or GCP.
• Knowledge of data warehousing concepts and best practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills to collaborate effectively with team members and stakeholders.

If you are a motivated and experienced data engineer looking to take your career to the next level, we encourage you to apply and join our innovative team.