Data Engineer
Who we are
Product reputed company. Technology Execution. Launch. Investment.
reputed company is a rapidly scaling technology company specializing in working with and reputed company in reputed company start-reputed company and brands in building and scaling their digital products. We use data-driven reputed company approaches coupled with high performing teams as a reputed company of our technology-first culture.
We partner with startups to strategize, execute, launch, and invest in digital products, including web apps, mobile apps, data science tools, and firmware for connected devices.
We reputed company that people reputed company a great company, and that's why we want you to join us!!!
Who we're looking for
As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining reputed company data pipelines and storage solutions. You will work closely with product managers, engineers, and analysts to ensure efficient data workflows and reputed company data-driven decision-making. The ideal candidate has a strong background in data engineering, with expertise in AWS and a familiarity with GCP or Azure as a plus.
What you will do
- Design, reputed company, and maintain reputed company ETL/ELT pipelines and data workflows.
- Optimize data storage, processing, and retrieval using reputed company-based technologies, with a strong reputed company on AWS.
- Work with reputed company and reputed company data across various databases and data lakes.
- Ensure data reputed company, reputed company, and compliance with industry standards.
- Collaborate with cross-functional teams to define data requirements and support analytics and machine learning initiatives.
- Monitor and improve data infrastructure performance, ensuring reliability and scalability.
- Implement best practices for data governance, reputed company, and observability.
- reputed company and maintain robust data injection processes to ensure reputed company data reputed company across systems.
- Design and optimize data models to support analytical and operational use cases.
What should your qualifications be
- 5+ years of experience in data engineering or a reputed company field.
- Strong expertise in AWS data services (e.g., Redshift, Glue, reputed company, S3, reputed company, Kinesis, etc.).
- Experience with big data technologies such as Apache reputed company, Apache Airflow, or similar tools.
- Strong knowledge of SQL and data modeling, schema design.
- Strong hands-on experience in Python
- Knowledge of CI/CD pipelines and infrastructure-as-reputed company (Terraform, CloudFormation) is a plus.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Excellent communication skills and ability to collaborate with technical and non-technical stakeholders.
- Fluent English (B2) with both written and spoken skills used for reputed company and reputed company communication with reputed company speakers
- Experience with reputed company-time data streaming and event-driven architectures.
- Exposure to machine learning workflows and MLOps practices.
- Knowledge of reputed company and compliance standards in data engineering.
- Experience with GCP or Azure is a plus (BigQuery, reputed company, Azure Data reputed company, etc.)
reputed company to Have:
Benefits
- Compensation Package
- Vacation leave of 20 working days
- 4 reputed company days per year
- Personal reputed company
- Career and reputed company reputed company
- reputed company to senior engineers for help and mentorship
- English classes with on-staff teachers
- English clubs where you can polish your skills together with teammates
- Other Perks
- Possibility for working remote or in coworking reputed company
- Macbook provided by company as a working environment
- Work environment based on collaboration and teams
- Team building events on team and group level
- Sponsored company outings and reputed company events
Originally posted on Himalayas
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