Senior Associate Data Engineering DE
4 weeks ago
Your Skills & Experience:Bachelor’s degree and year of work experience of
6 to 8 years
or any combination of education, training, and/or experience that demonstrates the ability to perform the duties of the positionMinimum
3 years
of experience in Big Data technologiesHands-on experience with the Hadoop stack – HDFS, sqoop, Kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow, and other components required in building end-to-end data pipelines. Working knowledge of real-time data pipelines is added advantage.Strong experience in at least the programming language Java, Scala, and Python. Python preferableHands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDB, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery, etc.Well-versed and working knowledge with data platform-related services on
GCPSet Yourself Apart With:Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands-on experienceKnowledge of data governance processes (security, lineage, catalog) and tools like Collibra, Alation, etcKnowledge of distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing, and Microservices architecturesPerformance tuning and optimization of data pipelinesCloud data specialty and other related Big data technology certificationsA Tip from the Hiring Manager:Join the team to sharpen your skills and expand your collaborative methods. Make an impact on our clients and their businesses directly through your work.
Additional Information
Gender Neutral Policy18 paid holidays throughout the yearGenerous parental leave and new parent transition programFlexible work arrangementsEmployee Assistance Programs to help you in wellness and well being
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