Data Engineer with Apache Spark and AWS Experience
3 weeks ago
Job Summary
We are seeking a highly experienced data engineer with Apache Spark and AWS expertise to join our data analytics team at Gainwell Technologies. As a key member of our cross-functional team, you will have the opportunity to design, develop, and deploy large-scale data pipelines, leveraging your technical skills to drive business growth and success.
Your Role in Our Mission
Design, develop, and deploy data pipelines, including ETL processes, using Apache Spark and AWS.
Monitor, manage, validate, and test data extraction, movement, transformation, loading, normalization, cleansing, and updating processes.
Collaborate with users to understand data needs and deliver data with a focus on data quality, reuse, consistency, security, and regulatory compliance.
Collaborate with team members on data models and schemas in our data warehouse.
Communicate effectively with various internal and external stakeholders.
Requirements
15+ years of experience in data engineering or a related field.
Technical skills in SQL, Spark/Pyspark, Databricks, and Python.
Proven experience designing and building large-scale data pipelines.
In-depth knowledge of big data technologies, including Apache Spark, Kafka, and Hadoop.
Strong proficiency in SQL and scripting languages, such as Python and Bash.
Experience with cloud platforms, such as AWS, GCP, and Azure, is a plus.
What to Expect
A fast-paced, challenging, and rewarding work environment. A hybrid office environment. Late evening work may be required to overlap US work hours.
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