Data Engineer
Job description
We are seeking a highly skilled Data Engineer to join our dynamic team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support our analytics and business intelligence initiatives. You will work closely with data scientists, analysts, and other stakeholders to ensure that our data infrastructure is robust and reliable, enabling data-driven decision-making across the organization. As a Data Engineer, you will leverage your expertise in data modeling, ETL processes, and cloud technologies to create efficient solutions for data ingestion, storage, and processing. You will also monitor and optimize the performance of our data systems, ensuring that they meet the evolving needs of the business. If you are passionate about data and eager to contribute to a fast-paced environment, we would love to hear from you.
Key responsibilities
Design and implement data pipelines and data models to facilitate analytics Collaborate with data scientists and analysts to understand data requirements Optimize and maintain existing data architecture for performance and scalability Develop and maintain ETL processes for data ingestion from various sources Ensure data quality, consistency, and compliance within the data ecosystem Monitor system performance and troubleshoot data-related issues Document data flows, architectures, and processes for internal use
Requirements
Bachelor's degree in Computer Science, Information Technology, or a related field 3+ years of experience in data engineering or a similar role Proficient in SQL and experience with relational databases such as MySQL or PostgreSQL Experience with data pipeline tools such as Apache Airflow, Talend, or similar Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Knowledge of programming languages such as Python, Java, or Scala Strong analytical and problem-solving skills
Qualifications
Master's degree in a relevant field Experience with big data technologies like Hadoop, Spark, or Kafka Understanding of machine learning concepts and frameworks Experience with NoSQL databases such as MongoDB or Cassandra Familiarity with data governance and data privacy regulations Previous experience in a fast-paced, agile environment Strong communication skills and the ability to collaborate with cross-functional teams
Job overview
Number of positions
Salary range
Posted date
About Amivel Technologies
Skills
Required skills
Benefits
- Competitive salary
- Health insurance
- Retirement plan
- Paid time off
- Professional development opportunities
- Flexible work hours
- Remote work options
- Wellness programs