Senior Data Engineer
Company shown to members 🔒 · Remote · Location not stated
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First recorded by Psst: 13 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- 7+ years required
- Where you can live
- Location not stated
- Skills and tools
- sql, python, java, aws, azure, compliance
- Degree or licence
- Mentioned (bachelor's)
- Job type
- Full-time
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Job details
- Where you can work
- Location not stated
- Employment type
- Full-time
- Advertised pay
- Not stated by the employer
- Experience
- 7+ years required
- Employer publication date
- 18 August 2024
- First recorded by Psst
- 13 October 2026
- Last checked at the source
- 9 November 2026
About the job
Job Brief
We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in designing and implementing data pipelines, as well as experience in optimizing data workflows and handling large volumes of data. You will be responsible for developing and maintaining efficient data infrastructure, as well as collaborating with cross-functional teams to address data-related technical challenges and fulfill data infrastructure needs.
Duties and Responsibilities
- Design and develop scalable and reliable data pipelines, ensuring high availability and performance.
- Construct intricate data sets that align with functional and non-functional business requirements.
- Identify, plan, and implement internal process enhancements, such as automation of manual processes, data delivery optimization, and infrastructure redesign for improved scalability.
- Implement best practices for data storage, processing, and retrieval.
- Collaborate with stakeholders including executives, data scientists, and product managers to understand data requirements and implement data solutions.
- Optimize and tune data workflows to achieve optimal performance and efficiency.
- Maintain data security and compliance with data privacy regulations.
- Stay up-to-date with emerging technologies and industry trends in data engineering and analytics.
- Mentor and guide more junior data engineers in the team.
Requirements
- Bachelor's or Master's degree in computer science, engineering, or a related field.
- Minimum of 7 years of industry experience as a data engineer or in a similar role.
- Strong programming skills in languages such as Python, Scala, or Java.
- Experience in designing and implementing data pipelines using tools like Apache Kafka, Apache Spark, or AWS Glue.
- Proficiency in SQL and database technologies like PostgreSQL, MySQL, or MongoDB.
- Knowledge of cloud platforms such as Azure.
- Experience with data modeling, ETL processes, and data warehousing concepts.
- Strong problem-solving and troubleshooting skills.
- Excellent communication and collaboration abilities.
- Ability to work effectively in cross-functional teams.
- Detail-oriented and proactive mindset.
Benefits
Perks & benefits
- Paid Time Off
- Work From Home
- Health Insurance
- OPD
- Training and Development
- Life Insurance
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