We are seeking a talented and experienced Data Engineer to join our client's dynamic team and help them transform raw data into valuable insights that fuel their business growth. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining robust data pipelines and architectures that support our data-driven initiatives.
Responsibilities:
- Design, develop, and maintain scalable and efficient data pipelines and architectures, including data ingestion, transformation, and storage processes.
- Collaborate with data scientists, analysts, and business stakeholders to understand their data requirements and translate them into technical solutions.
- Develop and implement data quality and validation frameworks to ensure data accuracy and integrity.
- Optimize data pipelines for performance and efficiency, identifying and resolving bottlenecks.
- Leverage AI and machine learning techniques to extract valuable insights from data and develop predictive models.
- Stay up-to-date with the latest trends and technologies in data engineering and data management.
Qualifications:
- Bachelor's degree in Computer Science, Data Engineering, or a related field.
- 5+ years of hands-on experience in data engineering roles.
- Strong proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL, Oracle).
- Expertise in data transformation and ETL/ELT processes using tools like Apache Spark, Hadoop, or similar technologies.
- Familiarity with cloud platforms and cloud-based data services.
- Experience with data warehousing and data lake concepts.
- Knowledge of AI and machine learning algorithms and frameworks is a plus.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently and as part of a team.
Benefits:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Collaborative and supportive