Senior Data Engineer

Key responsibilities include:
Build and maintain big data technologies, environments, and applications, seeking opportunities for improvements and efficiencies
Performing ETL (Extract, Transform, Load) processes based on business requirements using Apache Spark and data ingestion from Apache Kafka
Work with various data platforms including Apache Hadoop, Apache Ozone, AWS S3, Delta Lake, Apache Iceberg
Utilizing orchestration tools like Apache NiFi for managing and scheduling data flows efficiently
Writes performant SQL statement to analyze data with Hive/Impala/Oracle
Full application development lifecycle (SDLC) from design to deployment
Working with multiple stakeholders across teams to fulfill ad-hoc investigations, including large-scale data extraction, transformation, and analyses

About You:
Excellent problem-solving skills with good understanding of data engineering concepts
Proficient in Apache Spark with Python and related technologies
Strong knowledge of SQL and performance tuning
Experience in Big Data technologies like Hadoop and Oracle Exadata
Solid knowledge of Linux environments and proficiency with bash scripting
Effective verbal and written communication skills
Nice to have knowledge or prior experience with any of the following
Apache Kafka, Apache Spark with Scala
Orchestration with Apache Nifi, Apache Airflow
Java development and microservices architecture
Build tools like Jenkins
Log analysis and monitoring using Splunk
Databricks, AWS
Working with large data sets with terabytes of data