Cloud Data Engineering Solutions Architect
4 weeks ago
Job Description:
As a Cloud Data Engineering Solutions Architect at Visionyle Solutions, you will play a key role in designing and implementing advanced data engineering solutions on cloud platforms like AWS, Azure, or GCP. This position requires expertise in building, maintaining, and optimizing data workflows and supporting robust data warehousing and analytics solutions.
You will work closely with cross-functional teams to align data engineering solutions with business requirements, improve data accessibility, and support strategic data initiatives. Key responsibilities include working as part of a globally distributed team to design and implement Hadoop big data solutions in alignment with business needs and project schedules.
We are looking for an experienced professional with 8-10 years of relevant experience in data warehousing/engineering, software solutions design and development. You should have hands-on experience in Databricks stack, data engineering technologies (e.g., Spark, Hadoop, Kafka), and proficiency in Python, SQL. Additionally, you should be proficient in implementing data warehousing solutions and have expertise in any ETL tool (e.g., SSIS, Redwood).
Requirements:
- Hands-on experience in Databricks stack
- Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
- Proficiency in Python, SQL
- Expertise in implementing Data Warehousing solutions
- Expertise in Any ETL tool i.e. (SSIS, Redwood)
Benefits:
We offer a competitive salary range of $120,000 - $160,000 per annum, depending on your experience and qualifications. Our benefits package includes opportunities for career growth and professional development, a collaborative and dynamic work environment, and flexible working arrangements.
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