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8 hours ago
Job Title: Cloud Data Solutions Architect
Key Responsibilities:- Expert-level understanding of distributed computing principles enables designing and implementing scalable data architectures.
- Proficient in programming with Python, experienced in Apache Spark, and familiar with Hadoop v2, Map Reduce, HDFS, Sqoop.
- Skilled in querying big data using tools like Hive and Impala.
- Experienced in integrating data from multiple sources, including relational databases (SQL Server, Oracle), ERP systems, and files.
- Familiarity with Extract-Transform-Load (ETL) techniques and frameworks is essential for data processing.
- Performance optimization of Spark Jobs requires expertise in machine learning algorithms and statistical modeling.
- Leadership skills are necessary to lead cross-functional teams and drive data-driven decision-making.
- Minimum 5 years of experience in Big Data & Data related technology.
- Strong understanding of SQL queries, joins, stored procedures, and relational database schemas.
- Experience with NoSQL databases such as HBase, Cassandra, and MongoDB.
- Practitioner of Agile methodology with a focus on continuous integration and delivery.
Azure Databricks certification is an added advantage.
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