Senior Data Infrastructure Engineer
8 hours ago
Job Summary
Rapinnno Tech Solutions Private Limited is seeking an experienced Senior Data Infrastructure Engineer to join our team. As a key member of our data engineering team, you will play a critical role in designing, building, and maintaining scalable data architectures that support advanced analytics and ETL processes using Databricks and Spark.
About the Role
This is a senior-level position that requires strong technical expertise in Databricks, Apache Spark, and ETL processes. You will work closely with data engineers, analysts, and business stakeholders to gather requirements and deliver tailored data solutions. Your primary focus will be on developing and implementing robust data applications from the ground up, ensuring seamless integration of data from multiple sources into data lakes or warehouses.
Key Responsibilities
- Design and implement scalable data architectures that support advanced analytics and ETL processes using Databricks and Spark.
- Build, test, and deploy custom data applications, leveraging Databricks and Spark to streamline data processing and analysis.
- Develop and optimize ETL workflows to ensure seamless integration of data from multiple sources into data lakes or warehouses.
- Create and maintain data models that enhance data accessibility and usability for analytics and reporting purposes.
- Monitor and improve the performance of data applications and ETL processes, applying best practices for optimization.
Qualifications
We are looking for a highly skilled and experienced Senior Data Infrastructure Engineer with a proven track record of designing and building robust data applications from the ground up. The ideal candidate should have:
- A Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field; Master's degree is preferred.
- At least 5 years of experience as a Data Architect or similar role, with a strong focus on Databricks, Apache Spark, and ETL.
- Proven ability to build data applications from scratch.
- Expertise in Databricks and Spark for big data processing.
- Strong experience with ETL tools and methodologies (e.g., Apache NiFi, Talend, Informatica).
- Knowledge of data modeling techniques and practices.
- Familiarity with cloud platforms (AWS, Azure, GCP) and data storage solutions (data lakes, data warehouses).
Salary
The estimated salary for this position is ₹20,00,000 - ₹30,00,000 per annum, depending on experience.
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