[Hiring] Senior Data Engineer @Digitrell

Role Description

The Data Engineer will be responsible for designing and implementing scalable data pipelines and architectures. The role requires a strong background in data engineering and a passion for working with large datasets.

Qualifications

• 5+ years of relevant experience in data engineering.
• Advanced proficiency in Python, including libraries such as Pandas and NumPy.
• Strong skills in SQL for complex data manipulation and analysis.
• Hands-on experience with Apache Spark, Hadoop, or similar distributed systems.
• Proven track record of handling large-scale datasets (TBs) in production environments.
• Cloud development experience with AWS (preferred).
• Solid understanding of data lake and data lakehouse architectures.
• Expertise in ETL performance tuning and cost optimization techniques.
• Knowledge of data structures, algorithms, and modern software engineering practices.

Requirements

• Job Location: 100% Remote
• Job Type: Full-time, Permanent
• Timing: 6:30 pm to 4:30 am
• Notice: Immediate/15 days or currently serving (LWD within 30 days)

Benefits

• Competitive salary
• Flexible work hours
• Health and wellness programs
• Opportunities for professional development