Join Aryng as a Senior Data Engineer

Company Overview:

Aryng is a trailblazer in technology solutions, specializing in data engineering and poised for rapid growth. We invite you to bring your expertise and innovative spirit to our team as a Senior Data Engineer. This role is tailor-made for professionals passionate about crafting scalable data engineering solutions on sophisticated cloud platforms.

Job Description:

We are in search of a Senior Data Engineer, proficient in developing enterprise-grade distributed data systems on cloud infrastructures. Based in India, this role provides an excellent opportunity to work alongside top-tier data scientists, engineers, and business analysts. Your main goal will be to develop highly efficient, large-scale data platforms and real-time processing pipelines to bolster Aryng’s client solutions. A knack for creative and effective problem-solving will serve you well in this position.

Key Responsibilities:

• Develop asynchronous data ingestion and high-volume stream data processing frameworks.
• Enhance real-time data analytics capabilities using advanced data engineering techniques.
• Design and implement components on cloud technologies such as GCP, AWS, and Azure.
• Optimize data pipelines, identify bottlenecks, and champion the adoption of robust data management practices.
• Play a pivotal role in requirement gathering, client management, team handling, and delivering comprehensive programs.

Required Qualifications:

• A minimum of 5 years in data engineering, with extensive experience in managing cloud-based solutions (GCP, AWS, Azure).
• At least 2 years' experience in Python and a strong command of SQL and its underlying concepts.
• Proficiency in modern data platforms like Big Query, Snowflake, Redshift, and DBT.
• A robust understanding of data warehousing, data lakes, and cloud architecture fundamentals.
• Exceptional communication, presentation, and proactive problem-solving skills.
• Bachelor’s degree in Computer Science, Software Engineering, or related fields.
• Preferred: Experience with Apache Beam, Hadoop, Airflow, Kafka, Spark, and BI tools like Tableau or Looker.

Why Aryng?

As part of our team, you’ll enjoy direct client interactions, flexible work hours, a competitive salary, and a culture that values work-life balance. Aryng is 100% remote, provides significant tax benefits, and offers a flat hierarchy, allowing you to influence and become a thought leader.

Ready to apply?

Aryng is not just about technology but about transforming ideas into significant actions. If you are driven by challenges and the prospect of solving complex problems, apply now and redefine what's possible in data engineering.