About the Role
We are seeking a Data Engineer to develop and maintain our data architecture, pipelines, and warehousing solutions. You will play a key role in transforming raw data into valuable insights for business decision-making.
Roles & Responsibilities
- Design, construct, install, test, and maintain highly scalable data management systems.
- Build robust and efficient ETL/ELT pipelines.
- Ensure data quality, integrity, and reliability.
- Work with various data sources, including databases, APIs, and streaming data.
- Optimize data storage and retrieval processes.
- Collaborate with data scientists, analysts, and other stakeholders to understand data needs.
- Implement data governance and security best practices.
Skills Required
- Proven experience as a Data Engineer or in a similar role.
- Strong proficiency in SQL and data warehousing concepts.
- Experience with programming languages like Python or Scala for data processing.
- Familiarity with ETL tools and frameworks (e.g., Apache Airflow, Talend).
- Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.
- Experience with cloud data platforms (e.g., AWS Redshift, Google BigQuery, Azure Synapse).
- Understanding of data modeling and database design.
Eligibility
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Strong analytical and problem-solving skills.
What You’ll Gain
- Opportunity to work with large and complex datasets.
- Exposure to modern data engineering tools and technologies.
- A key role in driving data-informed decisions.
- A dynamic environment with continuous learning opportunities.
How to Apply
Interested candidates can apply by filling out the form below. Please ensure your resume is up-to-date.
Alternatively, you can send your resume and portfolio (if available) directly to:
Please use the subject line: Application for Data Engineer – [Your Name]