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JOB REQUIREMENTS (must have)
• CAT-1 cleared/eligible candidate is required for this role.
• Possess a degree in Computer Science/Information Technology or related field.
• Strong hands-on SQL skill in any RDBMS.
• Intermediate experience in dbt Core.
• Basic experience in Python and Snowflake.
• Agile, fast learner, and able to adapt to changes.
• Good team player, with strong analytical skills and enjoy complex problem-solving.
• Experience in the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies such as Scrum and Kanban will be advantageous
RIDIK, a subsidiary of CLPS Inc, is part of a global leading information technology consulting and solutions service provider focusing on the banking, insurance, and financial service sectors.
As a wholly-owned subsidiary of CLPS Incorporation (Nasdaq: CLPS), we leverage global resources to deliver innovative, tailored solutions across Asia Pacific, North America, and the Middle East.
We have more than 3000 employees working across 8 countries and 8 development centres. Our development centres have been certified with ISO 9001, 27001, and CMMi L5. For more information: please visit: https://www.clpsglobal.com/.
Job ID: 147843063
Skills:
Java, Hadoop, Scala, Kafka, Sql, Hive, Gcp, Spark, Etl Tools, Data Warehousing Concepts, Azure, Python, AWS, data pipeline development, Airflow, DevOps practices, data modeling techniques
Skills:
Aws Lambda, Cassandra, PostgreSQL, AWS Glue, SSIS, Sql, Google Cloud, Spring, Pandas, MySQL, Sqlite, ECS, MongoDB, Azure, Python, AWS, Aws S3, AWS DMS, EventBridge, R, Athena
Skills:
Java, Hive, Hadoop, Presto, Scala, Spark, Python, Sql, Clickhouse, Flink
Skills:
snowflake , Machine Learning, Data Mining, AWS Glue, Tableau, Docker, Python, Matplotlib, Hadoop, Power Bi, Redshift, Sql, Azure ML, Azure Data Factory, Spark, Data Visualization, Seaborn, Kubernetes, Airflow, R, GCP AI Platform, Statistics, AWS SageMaker, GCP BigQuery, Experimental Design, Data Validation
Skills:
Gcp, Terraform, Pyspark, Apache Spark, Kafka, Azure, Sql, AWS, Delta Lake, Databricks Lakehouse
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