Senior Data Engineering Professional
1 day ago
Job Overview
We are seeking a highly skilled Senior Data Engineering Professional to join our team at Publicis Sapient. This individual will play a crucial role in translating client requirements into technical design and implementing components for data engineering solutions.
The ideal candidate will possess a deep understanding of data integration and big data design principles, as well as experience with the Hadoop stack, including HDFS, Sqoop, Kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, Hive, Oozie, and Airflow.
This role requires independent driving of design discussions to ensure the overall solution's health and stability.
Key Responsibilities
- Design and implement data ingestion pipelines from multiple heterogeneous sources in batch and real-time
- Build functionality for data analytics, search, and aggregation using Java, Scala, or Python
Requirements
- 6+ years of experience in Big Data technologies with a minimum of 4+ years in the Hadoop ecosystem
- Strong experience in Java, Scala, or Python, with Java being preferable
- Hands-on knowledge of NoSQL and MPP data platforms, including HBase, MongoDB, Cassandra, AWS Redshift, Azure SQLDW, and GCP BigQuery
- Well-versed in data platform-related services on AWS
- Bachelor's degree and 6-8 years of work experience or equivalent combination of education and experience
Salary Range: $120,000 - $180,000 per year
Benefits:
- Gender-Neutral Policy
- 18 paid holidays throughout the year
- Generous parental leave and new parent transition program
- Flexible work arrangements
- Employee Assistance Programs for wellness and well-being
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