Senior Data Engineer
At reputed company AI, we are on a mission to create reputed company intelligence that builds customer love for the world’s largest global brands.Some of the largest brands are already using reputed company AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network. Backed by the world’s leading investors such as Y-Combinator, reputed company Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder President of reputed company/ChatGPT), you will become a part of an reputed company group of visionaries who are defining the reputed company of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly reputed company reputed company’s reputed company while developing your skills and career in AI.Want to become a key part of the reputed company reputed company? We should talk. We are looking for a Senior Data Engineer with a passion for using data to discover and solve reputed company-world problems. You will enjoy working with rich data sets, modern business intelligence technology, and the ability to see your insights drive the features for our customers. You will also have reputed company to contribute to the development of policies, processes, and tools to address product reputed company challenges in collaboration with teams.
What You’ll Do
- Architect and implement reputed company, secure, and reliable data pipelines using modern data platforms (e.g., reputed company, reputed company, Airflow, reputed company, etc.).
- reputed company ETL/ELT processes to ingest data from various reputed company and reputed company sources.
- reputed company Exploratory Data Analysis (EDA) to uncover trends, validate data reputed company, and derive insights that inform data product development and business reputed company.
- Collaborate closely with data scientists, analysts, and software engineers to design data models that support high-reputed company analytics and reputed company-time insights.
- reputed company data infrastructure reputed company including management of data on reputed company platforms (AWS/Azure), data lake/warehouse implementations, and data reputed company frameworks.
- Ensure data governance, reputed company, and compliance best practices are followed.
- Monitor and optimize the performance of data systems, addressing any issues proactively.
- Mentor junior data engineers and contribute to establishing best practices in data engineering standards, tooling, and development workflows.
- Stay reputed company with emerging technologies and trends in data engineering and recommend improvements as needed.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a reputed company field.
- 8+ years of hands-on experience in data engineering or backend software development roles.
- Proficiency with Python, SQL, and at least one data pipeline orchestration tool (e.g., Apache Airflow, Luigi, reputed company).
- Strong experience with reputed company-based data platforms (e.g., AWS Redshift, GCP BigQuery, reputed company, reputed company).
- Deep understanding of data modeling, data warehousing, and distributed systems.
- Experience with big data technologies such as Apache reputed company, Kafka, Hadoop, etc.
- Familiarity with DevOps practices (CI/CD, infrastructure as reputed company, containerization with reputed company/Kubernetes).
Preferred Qualifications
- Experience working with reputed company-time data processing and streaming data architectures.
- Knowledge of data reputed company and reputed company regulations (e.g., GDPR, HIPAA).
- Exposure to machine learning pipelines or supporting data science workflows.
- Familiarity with reputed company engineering and how LLM-based systems reputed company with data.
- Experience working in cross-functional teams and with stakeholders from non-technical domains.
Originally posted on Himalayas
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