Data Engineer
1 week ago
Job Description:
We are seeking a highly skilled Data Engineer to join our dynamic team.
The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives.
You will work closely with cross-functional teams to gather requirements, implement data solutions, and ensure data quality and integrity.Responsibilities:
- Design, build, and maintain efficient and reliable data pipelines to move and transform data from various sources to our data warehouse.
- Collaborate with data scientists and analysts to understand data requirements and implement solutions that meet business needs.
- Optimize and tune existing data pipelines for performance and scalability.
- Implement data governance processes to ensure data quality, consistency, and security.
- Troubleshoot data issues and perform root cause analysis.
- Stay current with emerging technologies and trends in data engineering and recommend adoption of new tools and techniques as appropriate.
Required Skills:
- Bachelor's degree in Computer Science, Engineering, or a related field. (Master's degree preferred)
- Proven experience as a Data Engineer or similar role with minimum 2+ years of experience.
- Strong proficiency in SQL and experience with relational database systems (e.g., PostgreSQL, MySQL).
- Experience with distributed computing frameworks such as Apache Spark or Hadoop.
- Proficiency in at least one programming language such as Python, Java, or Scala.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Familiarity with data modeling concepts and ETL processes.
- Strong analytical and problemsolving skills.
- Excellent communication and collaboration skills.
- Ability to work independently and in a team environment.
Preferred Skills:
- Experience with NoSQL databases (e.g., MongoDB, Cassandra).
- Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Familiarity with realtime streaming technologies (e.g., Apache Kafka, Apache Flink).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Certification in relevant technologies (e.g., AWS Certified Big Data
- Specialty, Google Professional Data Engineer).
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