Data Platform Architect
2 days ago
Hirexa Solutions is a dynamic consulting firm that helps businesses unlock the full potential of their data. We are currently seeking an experienced Data Engineer to join our team.
Job DescriptionWe are looking for a highly skilled Data Engineer to design and build modern data platforms that support data-driven decision making. The ideal candidate will have a strong background in data engineering, visualization, and cloud computing.
The successful candidate will execute technical implementation of data engineering and visualization projects, working closely with our team of experts to deliver high-quality results. Key responsibilities include designing, implementing, and developing data pipelines to collect and process large amounts of data from various sources.
The selected candidate will also be responsible for implementing data storage solutions that are scalable, secure, and efficient, such as data warehouses and databases. They will develop and implement data validation and testing processes to ensure that data is processed accurately and efficiently.
Key Responsibilities:- Design, implement, and develop data pipelines to collect and process large amounts of data from various sources.
- Implement data storage solutions that are scalable, secure, and efficient, such as data warehouses and databases.
- Develop and implement data validation and testing processes to ensure that data is processed accurately and efficiently.
To succeed in this role, you will need a Bachelor's degree in Computer Science, Information Technology, or a related field, as well as 3 to 5 years of experience in data management, data engineering, or data visualization. You must have excellent problem-solving, organization, debugging, and analytical skills.
You should also have excellent communication skills for effectively expressing ideas to team members and clients. A strong understanding of relational database concepts and SQL querying is essential, as is knowledge of cloud computing platforms, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
Familiarity with data warehousing solutions, such as Amazon Redshift, Snowflake, Google BigQuery, or Azure Synapse, is also required. Experience building data pipelines with ETL tools/Equivalent Cloud services, such as Azure Data Factory, dbt, AWS Glue, Matillion or equivalent, is a plus.
Benefits- A competitive salary of $120,000 per year.
- A comprehensive benefits package, including health insurance, retirement plan, and paid time off.
- The opportunity to work on challenging projects with a talented team of professionals.
Please note that this is a full-time position, and the salary range is negotiable based on experience.
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