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Qualification & Experience:
At least 1-3 years of overall industry experience. (W
orking experience in a relevant field would be preferred and favorable
Bachelor’s degree in Computer Science or equivalent.
Experience in any programming language like Java, Python, Scala.
Experience in creating ETL pipeline and familiar with extraction, transformation, loading, filtering, cleaning, joining, scheduling, monitoring, and data-streaming.
Experience with data processing tools. (Spark, Hadoop)
Experience with AWS/GCP Services (EMR, Redshift, Google Data Studio, BigQuery)
Familiarity with Data warehousing tools and processes. (Snowflake, RedShift, S3, BigQuery)
Experience in setting up ingestion pipelines. (Apache Kafka, Amazon Kinesis)
Familiarity with analytics and visualization tools is preferable.
Candidates with certifications in big data tools would be preferable.
Experience with relational SQL and NoSQL databases.
Familiarity with project management processes (Sprint, KANBAN) and tools. (Jira, Asana)
Ability to work independently or in a collaborative environment with a proactive attitude.
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