Data Engineer

Noida - India

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Experience:34 Years in Data Engineering

Job Summary:
We are looking for a skilled Data Engineer with 35 years of experience to join our team. The ideal candidate should have expertise in Python AWS Core Java and the Hadoop ecosystem with strong experience in data processing data warehousing and query optimization. Responsibilities include designing developing and optimizing scalable data pipelines to integrate data from multiple sources into data warehouses and data marts.

Key Responsibilities:

Develop and maintain scalable data pipelines to efficiently process and integrate data from multiple sources into data warehouses and data marts.
Collaborate with data scientists analysts and stakeholders to understand data requirements and support analytical and business needs.
Optimize data workflows by implementing automation and best practices to improve performance and efficiency.
Troubleshoot and resolve data pipeline issues ensuring data integrity accuracy and reliability.
Implement and maintain data quality checks validation processes and monitoring solutions.
Support the design and optimization of data models and database structures for performance and scalability.
Assist in migrating and optimizing data processing systems ensuring cost-effective and efficient infrastructure usage.
Document data processes workflows and technical solutions for knowledge sharing and continuous improvement.

Required Skills & Qualifications:

Proficiency in Python AWS Hadoop ecosystem Core Java and PySpark.
Strong expertise in SQL NoSQL and query writing.
Experience working with databases such as MySQL PostgreSQL and Oracle.
Good understanding of data warehouse concepts.
Experience with open data formats like Iceberg Delta Lake (Good to have).
Familiarity with BI tools such as Tableau Looker (Good to have) and Apache Superset.
Ability to work in a fast-paced data-driven environment.
Strong problem-solving and analytical skills.

Additional Requirements:

Willingness to support business operations outside standard working hours.
Must be comfortable with an office-based work environment.

Required Experience:

Experience:34 Years in Data EngineeringJob Summary: We are looking for a skilled Data Engineer with 35 years of experience to join our team. The ideal candidate should have expertise in Python AWS Core Java and the Hadoop ecosystem with strong experience in data processing data warehousing and query...

Experience:34 Years in Data Engineering

Key Responsibilities:

Develop and maintain scalable data pipelines to efficiently process and integrate data from multiple sources into data warehouses and data marts.
Collaborate with data scientists analysts and stakeholders to understand data requirements and support analytical and business needs.
Optimize data workflows by implementing automation and best practices to improve performance and efficiency.
Troubleshoot and resolve data pipeline issues ensuring data integrity accuracy and reliability.
Implement and maintain data quality checks validation processes and monitoring solutions.
Support the design and optimization of data models and database structures for performance and scalability.
Assist in migrating and optimizing data processing systems ensuring cost-effective and efficient infrastructure usage.
Document data processes workflows and technical solutions for knowledge sharing and continuous improvement.

Required Skills & Qualifications:

Proficiency in Python AWS Hadoop ecosystem Core Java and PySpark.
Strong expertise in SQL NoSQL and query writing.
Experience working with databases such as MySQL PostgreSQL and Oracle.
Good understanding of data warehouse concepts.
Experience with open data formats like Iceberg Delta Lake (Good to have).
Familiarity with BI tools such as Tableau Looker (Good to have) and Apache Superset.
Ability to work in a fast-paced data-driven environment.
Strong problem-solving and analytical skills.