Quarks - Data Engineer - On Premises
1 week ago
Job Title :
Data Engineer
Experience Level : 4+ years and atleast 1+ in on premises
Location :
Noida ( WFO)
Job Overview :
We are seeking a skilled and experienced On-Premises Data Engineer to join our team. The ideal candidate will have a strong background in designing, implementing, and maintaining data infrastructure solutions within on-premises environments.
This role will involve working closely with cross-functional teams to ensure the availability, integrity, and security of our on-premises data systems.
Responsibilities :- Data Infrastructure Design:
- Design, architect, and implement data infrastructure solutions within onpremises environments to support business needs.
- Evaluate existing systems and propose enhancements or upgrades as necessary.
- Develop, optimize, and maintain data pipelines to ingest, process, and transform data from various sources.
- Ensure scalability, reliability, and performance of data pipelines.
- Manage onpremises database systems, including installation, configuration, tuning, and troubleshooting.
- Ensure data integrity, security, and compliance with regulatory requirements.
- Design and implement data models and data warehouses to support reporting and analytics requirements.
- Optimize data storage and retrieval for performance and efficiency.
- Monitor system performance and identify opportunities for optimization and improvement.
- Implement automation and scripting for routine tasks and processes.
- Collaborate with crossfunctional teams, including developers, data scientists, and business analysts, to support datarelated initiatives.
- Provide technical support and troubleshooting for datarelated issues.
- Document system configurations, processes, and procedures.
- Ensure compliance with data governance policies, security standards, and regulatory requirements.
Education :
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Minimum 4+ years of experience in data engineering roles, with a focus on onpremises environments.
- Handson experience with onpremises data infrastructure solutions, such as Hadoop, Apache Spark, or similar technologies.
- Proficiency in SQL and one or more programming languages (e.g., Python, Java).
- Experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- Knowledge of data warehousing concepts and technologies (e.g., Snowflake, Redshift).
- Familiarity with data integration tools and ETL processes.
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