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Senior Big Data Solutions Architect
2 weeks ago
We are seeking a seasoned Big Data Solutions Architect to lead our efforts in designing and implementing cutting-edge data solutions. The ideal candidate will have a strong background in distributed computing principles, Apache Spark, and Python programming.
Key Responsibilities:
- Design and implement scalable big data architectures using Hadoop, MapReduce, HDFS, and Sqoop
- Develop expertise in stream-processing systems, messaging systems (Kafka or RabbitMQ), and big data querying tools (Hive and Impala)
- Collaborate with cross-functional teams to integrate data from multiple sources (RDBMS, ERP, files) and develop ETL techniques and frameworks
- Lead performance tuning of Spark Jobs and ensure optimal data processing
Requirements:
- 5-12 years of experience in big data and data-related technology
- Expert-level understanding of distributed computing principles
- Hands-on experience with Apache Spark, Python, and Hadoop v2
- Proficiency in SQL queries, joins, stored procedures, and relational schemas
- Experience with NoSQL databases (HBase, Cassandra, MongoDB) and cloud data services (AWS, Azure Databricks, GCP)
- Ability to lead a team efficiently and apply Agile methodology
What We Offer:
- Opportunity to work on challenging projects and contribute to the growth of the organization
- Collaborative and dynamic work environment
- Professional development and growth opportunities