**Job Description: Data Engineer**
**Position Overview:**
We are seeking a talented and motivated Data Engineer to join our dynamic team. The ideal candidate will have a strong foundation in data engineering concepts, tools, and technologies. You will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient data pipelines, and contributing to the overall success of our data-driven initiatives.
**Responsibilities:**
– Collaborate with cross-functional teams to understand data requirements and design optimal data pipelines.
– Develop, test, and maintain scalable data pipelines, ETL processes, and data integration workflows.
– Implement data quality and validation processes to ensure accuracy and reliability of data.
– Optimize database systems for performance, scalability, and efficiency.
– Monitor and troubleshoot data pipeline issues, resolving them in a timely manner.
– Stay updated with industry trends and emerging technologies in data engineering.
– Contribute to the design and architecture of our data warehouse and data lake.
– Ensure data security and compliance with relevant data protection regulations.
– Create and maintain documentation for data processes, pipelines, and systems.
– Provide technical guidance and mentorship to junior team members.
**Qualifications:**
– Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree is a plus.
– Proven experience as a Data Engineer or in a similar role.
– Strong programming skills in languages like Python, Java, or Scala.
– Proficiency in SQL and database systems (e.g., PostgreSQL, MySQL, NoSQL databases).
– Hands-on experience with data warehousing solutions (e.g., Redshift, Snowflake) and data lake technologies (e.g., Hadoop, Spark).
– Familiarity with ETL tools and frameworks (e.g., Apache NiFi, Apache Airflow).
– Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
– Understanding of data modeling, data architecture, and data governance principles.
– Excellent problem-solving skills and the ability to troubleshoot complex data issues.
– Strong communication skills and the ability to work collaboratively in a team environment.
