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Data Architect for Scalable Data Solutions
13 hours ago
Our partner company is a renowned provider of software development, IT consulting, and business process outsourcing services. With a strong presence in various industries, they offer custom software solutions, digital transformation services, and cloud-based systems to help organizations optimize their technological infrastructure and improve operational efficiency.
Their expertise spans areas like data management, automation, and system integration, making them an ideal partner for businesses seeking to leverage the power of technology.
Job DescriptionWe are seeking a highly skilled Senior (Python) Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing and deploying scalable ETL processes customized to meet client requirements.
You will oversee data workflows to facilitate smooth analytics and reporting, while establishing data quality checks to ensure accuracy and consistency across various sources. Additionally, you will utilize AWS tools and automate deployment processes in CI/CD.
Required Skills and Qualifications- 5+ years of experience with Python and libraries like NumPy, Pandas
- Proficiency in SQL/NoSQL databases and AWS cloud tools
- Experience with Big Data tools like Airflow, Spark, Kafka, Redshift
- Strong problem-solving abilities and an analytical mindset
- Ability to work independently with clear, proactive communication
- Proficiency in written and spoken English
- Hybrid working model with remote work options and flexible hours
- Private Health Insurance
- Personal development through People Lead system
- Continuous growth culture with training resources
- Referral System
- Choice of technical equipment
- Agile mindset promoting simplified processes and a collaborative atmosphere
- Community-focused environment with talented professionals
Create data architectures that guarantee accessibility, integrity, and usability.
Design and deploy scalable ETL processes customized to meet client requirements.
Oversee data workflows to facilitate smooth analytics and reporting.
Offer expertise in data warehousing, stream processing, and cloud services.
Establish data quality checks to ensure accuracy and consistency across various sources.
Utilize AWS tools and automate deployment processes in CI/CD.
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