Big Data Engineer – Spark, Kafka
2 weeks ago
Job description:
Your Experience
5 years of experience in large scale realtime stream processing using Apache Spark with messaging infrastructure like KafkaPulsar
7 years of experience on Data Pipeline development ETL and processing of structured and unstructured data
5 years of experience using NoSQL systems like MongoDB DynamoDB and SnowFlake Athena
Experience with technologies like EMR S3 Lambda AWS Fargate CloudWatch DataDog
Experience owning and implementing technicaldata solutions or pipelines
Excellent written and verbal communication skills in English
Strong work ethic and entrepreneurial spirit
Additional Information Main skills set that are a must are
1 Spark with Scala or Python
2 Apache Kafka
3Snowflake and NoSQL DB experience like MongoDB
4 Experience in AWS cloud services
5 Solid understanding of Medallion architecture Parquet Iceberg
Behavioral Competences
Excellent communication ability to communicate on different levels of seniority
Team player enjoying being part of a crossfunctional setup
Ability to perform well on timecritical endeavors and on multiple fronts at the time
Strong dedication to quality and a client mindset
A passion for learning and continuous improvement
Skills:
Mandatory Skills : Apache Spark,Python,Big Data Hadoop Ecosystem,Data Architecture
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