Highly Skilled Data Engineering Professional Wanted for Pune Position
3 weeks ago
About Us
PRI Global is a leading provider of innovative solutions in the Authentication Program.
We are seeking an experienced Sr. Data Engineer to join our team in Pune, India. This is a fantastic opportunity to work with cutting-edge big data technologies and contribute to high-volume, complex datasets in the growing field of Authentication.
Job Description
This role involves designing, developing, and optimizing data pipelines using Apache Spark and orchestration tools like Apache NiFi. The successful candidate will have expertise in Python or other programming languages for Spark development, as well as knowledge of Hadoop, Hive, and Impala. Strong analytical and problem-solving skills are essential for this position.
Key Responsibilities
- Design, develop, and maintain data pipelines using Apache Spark and orchestration tools like Apache NiFi.
- Perform data analysis using SQL to translate business requirements into technical solutions.
- Manage big data processes on an on-prem Hadoop environment to deliver seamless data integration for downstream teams.
- Optimize and troubleshoot large-scale data processing systems for performance and scalability.
- Collaborate with global teams to align data engineering initiatives with business goals.
- Drive innovation by proposing and implementing solutions to enhance system efficiency and reliability.
Requirements
- Proficiency in Apache Spark and advanced SQL skills.
- Experience with Python or other programming languages for Spark development.
- Knowledge of Apache NiFi for orchestration and data flow management.
- Familiarity with Hadoop, Hive, and Impala is preferred.
- Strong analytical and problem-solving skills.
Benefits
- A competitive estimated salary of ₹18-22 lakhs per annum based on industry standards and location.
- An attractive benefits package including medical insurance, retirement plans, and paid time off.
- Opportunities for professional growth and development in a collaborative culture.
- The chance to work with cutting-edge big data technologies in a truly big data environment.
About the Role
This is a full-time position with regular working hours and an overlap of 3-4 hours with a US-based team. We offer flexible work arrangements, ample opportunities for learning and growth, and a collaborative culture that values innovation and creativity.
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