Data Engineer
3 weeks ago
At Optisol Business Solutions, we are seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining large-scale data systems and architectures.
Key Responsibilities:- Design and implement data pipelines and ETL processes using Python and cloud-based data storage and processing platforms.
- Develop and maintain data warehouses and data lakes using AWS, Azure, and Google Cloud Storage.
- Work with data analysts and data scientists to develop and implement data models and data architectures.
- Ensure data quality and governance by implementing data validation and data quality checks.
- Collaborate with cross-functional teams to design and implement data-driven solutions.
- 4-7 years of experience in data engineering with a focus on cloud-based data storage and processing platforms.
- Proficient in Python and experience with data warehousing and storage technologies.
- Familiarity with SQL and NoSQL databases, such as MySQL, PostgreSQL, or MongoDB.
- Knowledge of data modelling and data architecture principles.
- Experience with cloud-based data storage and processing platforms, such as Amazon S3, Azure Data Lake, or Google Cloud Storage.
- Familiarity with data pipeline and ETL tools, such as Azure ADF, AWS Glue, Apache Kafka, or Informatica.
- Experience with data governance and data quality tools, such as Talend, Informatica, or Trifacta.
- Strong analytical and problem-solving skills.
- Good communication skills to work with data analysts and data scientists.
- Familiarity with containerization and orchestration tools such as Docker, Kubernetes.
- Knowledge of security and compliance standards related to data handling.
- Competitive base salary.
- Great Learning & Development program.
- Flextime, Work-at-Home & Hybrid Options.
- A knowledgeable, high-achieving, experienced & fun team.
- Spot Awards & Recognition.
- The chance to be a part of next success story.
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