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Big Data Solution Architect
3 weeks ago
Job Title: Big Data Solution Architect
About the Role:
As a Big Data Solution Architect, you will play a key role in designing and implementing scalable data architectures for our clients. You will be responsible for leading teams of engineers and architects to deliver complex data solutions that meet the evolving needs of our clients.
Key Responsibilities:
- Design and implement distributed computing systems using Apache Spark, Hadoop, and other related technologies.
- Develop and maintain large-scale data processing pipelines using Python, Java, and Scala.
- Collaborate with cross-functional teams to integrate data from multiple sources, including relational databases, NoSQL databases, and cloud-based services.
- Lead agile development teams to design, develop, and deploy big data solutions that meet client requirements.
- Stay up-to-date with emerging trends and technologies in big data and data engineering, and apply this knowledge to drive innovation and improvement within the organization.
Requirements:
- 5-12 years of experience in big data and data-related technology.
- Expert-level understanding of distributed computing principles.
- Strong expertise in Apache Spark, Hadoop, and related technologies.
- Proficiency in Python, Java, and/or Scala programming languages.
- Experience working with NoSQL databases, such as HBase, Cassandra, or MongoDB.
- Good understanding of SQL queries, joins, stored procedures, and relational schemas.
- Knowledge of ETL techniques and frameworks.
- Performance tuning of Spark Jobs.
- Ability to lead a team efficiently.
- Practitioner of AGILE methodology.
Nice to Have:
- Experience with native Cloud data services in Azure Databricks.
What We Offer:
We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are passionate about big data and data engineering, and have a strong desire to lead teams and drive innovation, we encourage you to apply for this exciting opportunity.