Job Description
As a Data Engineer, you will be responsible for collecting, managing, and converting raw data into information that can be interpreted by data scientists and business analysts. Data accessibility is your ultimate goal, which is to enable organizations to utilize data for performance evaluation and optimization.
At Grazitti, we are actively seeking a Data Engineer, with 4+ years of experience combining data from different sources and strong coding skills in Python or PySpark. Besides, the ideal candidate should be familiar with Spark, Big Data technologies, ETL, SQL/NoSQL DB, Linux/Unix, and Streaming technologies like Kafka or Kinesis, Apache Airflow, Data Modelling, and Persistence Optimization.
Key Skills
- Proficiency in Amazon AWS or Microsoft Azure.
- Hands-on experience with Apache Airflow for workflow management.
- Sound understanding of Data Modeling & Persistence Optimization.
- Experience with analytics platforms such as Tableau, POWER BI, AWS, GCP, etc.
- Working experience with Marketing & Sales data.
- Strong analytical skills, attention to detail, and excellent writing skills.
- Excellent logical reasoning, time management, and listening skills.
- Coding background with hands-on experience in Python/PySpark.
- Clear understanding of statistics and probability concepts.
- Ability to act as a liaison between different teams and handle multiple parallel projects.
- Tech-savvy, highly motivated, a self-starter, and a team player.
- Ability to perform under pressure.
- Analytical & critical thinking capabilities.
- OOPS programming competencies.
- Mathematical skills.
- Excellent communication skills.
Roles and Responsibilities
- Consult with data management teams to understand the company’s data storage needs.
- Design and code the data warehouse system based on company specifications.
- Conduct preliminary testing of the warehousing environment before data extraction.
- Extract and transfer company data into the new warehousing environment.
- Test the new storage system thoroughly after data transfer.
- Troubleshoot and resolve any issues that may arise during the process.
- Provide maintenance support for the data warehousing system.
- Adhere to internal QMS (Quality Management System) procedures and Information Security Controls as per the implemented ISMS (Information Security Management System) of the Organization.
- Report incidents to the immediate Reporting Manager/Supervisor promptly.
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