
Big Data Solution Architect
2 days ago
Job Opportunity:
We are seeking a highly skilled Big Data Solution Architect to join our team.
About the Role:The ideal candidate will have expertise in designing and implementing large-scale data processing systems using Apache Spark, Hadoop, and related technologies. They will also have experience with stream-processing systems like Apache Storm or Spark-Streaming.
A strong understanding of distributed computing principles, data warehousing, and big data querying tools like Hive and Impala is required. The ability to lead a team efficiently and design effective solutions is crucial.
Key Responsibilities:- Data Processing Systems: Design and implement scalable data processing systems using Apache Spark, Hadoop, and other related technologies.
- Stream Processing: Experience with stream-processing systems like Apache Storm or Spark-Streaming.
- Distributed Computing: Expertise in distributed computing principles, including performance tuning of Spark jobs.
- Big Data Querying: Strong understanding of big data querying tools like Hive and Impala.
- Expertise: 5-12 years of experience in Big Data & Data-related technology.
- Apache Spark: Expert-level knowledge and experience in Apache Spark.
- Messaging Systems: Experience with messaging systems like Kafka or RabbitMQ.
- SQL Queries: Good understanding of SQL queries, joins, stored procedures, relational schemas.
- ETL Techniques: Knowledge of ETL techniques and frameworks.
- Cloud Services: Experience with native Cloud data services AZURE Databricks.
- NoSQL Databases: Experience with NoSQL databases like HBase, Cassandra, MongoDB.
- Data Integration: Experience with integration of data from multiple data sources like RDBMS (SQL Server, Oracle), ERP, Files.
What We Offer:
A dynamic work environment with opportunities for growth and development. A competitive salary and benefits package.
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