Data Engineer
1 week ago
Job Title: Data Engineer – Scalable Cloud Solutions
Location: Onsite
Experience: 5+ years
Compensation Package:
We offer a highly competitive salary of $180,000 per annum.
Job Description:
Data Engineers play a pivotal role in designing and building scalable data solutions. As a Senior Data Engineer at Recro, you will be responsible for developing and optimizing data pipelines using Python and PySpark.
Your key responsibilities will include:
- Data Pipeline Development: Develop ETL workflows in GCP, leveraging your expertise in Big Data technologies such as Hadoop, Hive, Kafka, and Airflow.
- Apache Spark Jobs: Design and tune Apache Spark jobs (RDDs, data frames) to ensure seamless data integration.
- Collaboration: Collaborate with cross-functional teams to design and implement scalable data solutions.
- Data Security and Compliance: Ensure data security, quality, and compliance across all data solutions.
Required Skills and Qualifications:
To excel in this role, you should possess the following skills:
- Python and PySpark Expertise: Proficient in Python and PySpark programming languages.
- Big Data Tools: Hands-on experience with Hadoop, Hive, Kafka, and Airflow.
- Apache Spark: Proficient in Apache Spark (RDDs, tuning).
- Java/Scala: Familiarity with Java and Scala programming languages for Spark jobs.
Preferred Skills:
A strong background in CI/CD and data warehousing is highly desirable. Additionally, excellent problem-solving and teamwork skills are essential for success in this role.
Education:
Bachelor's/Master's degree in Computer Science or related field.
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