Data Engineer
7 months ago
We are searching for a talented and passionate Data Engineer to join our growing team You will play a critical role in designing, building, and maintaining the data infrastructure that supports our data-driven initiatives. You will work closely with data scientists, analysts, and software engineers to ensure our data is clean, accessible, and ready for analysis.
**Responsibilities**:
- Design, develop, and implement scalable data pipelines to extract, transform, and load (ETL) data from various sources (databases, APIs, web logs, etc.)
- Build and maintain data warehouses and data lakes to store and manage large datasets efficiently.
- Design and implement data quality checks and data cleansing procedures to ensure data accuracy and consistency.
- Automate data processing tasks using scripting languages (e.g., Python) and data engineering tools (e.g., Spark, Airflow).
- Collaborate with data scientists and analysts to understand data needs and design appropriate data models.
- Monitor and maintain the data infrastructure to ensure performance and reliability.
- Stay up-to-date with the latest trends and technologies in data engineering (e.g., cloud platforms, big data technologies).
**Qualifications**:
- Bachelor's degree in Computer Science, Information Technology, or a related field (preferred).
- 1+ years of experience as a Data Engineer or similar data-related role.
- Strong programming skills in Python (or similar languages) and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Familiarity with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- Experience with data warehousing concepts (e.g., data modeling, dimensional modeling).
- Experience with data workflow orchestration tools (e.g., Airflow, Luigi).
- Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills to work effectively with cross-functional teams.
- Resident in Damietta
**Experience**:
- python programming language: 1 year (preferred)
- Jupyter Notebooks for data analysis and visualization: 1 year (preferred)
- data warehouse such as Google BigQuery: 1 year (preferred)
- Linux commands and shell scripting: 1 year (preferred)
- SQL databases and NoSQL databases (e.g., MongoDB): 1 year (preferred)
- docker: 1 year (preferred)
**Location**:
- Damietta (preferred)
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