Data Engineer: Build Scalable Pipelines & Real-Time Data
intelycore
United States
On-site
USD 90,000 - 130,000
Full time
14 days+
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Benefits offered by this job
Competitive salary and benefits
Collaborative and innovative work environment
Opportunities for professional growth and learning
Work with cutting-edge data engineering technologies
Job summary
A data engineering firm is seeking a skilled Data Engineer to design and maintain scalable data pipelines. This role involves transforming raw data into actionable insights and collaborating with data experts to ensure data integrity across systems. The ideal candidate will possess strong SQL and programming skills, knowledge of big data technologies, and relevant educational qualifications. Competitive salary and professional growth opportunities are available.
Qualifications
Bachelor’s or Master’s in Computer Science, Data Engineering, or a related field.
Strong experience in SQL, Python, Scala, or Java for data processing.
Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, or Flink.
Responsibilities
Develop, test, and maintain scalable ETL pipelines for processing large datasets.
Design and optimize data warehouses and real-time streaming systems.
Collaborate with Data Scientists and Analysts to ensure data availability.
Skills
SQL
Python
Scala
Java
Hadoop
Spark
Kafka
AWS
GCP
Azure
Education
Bachelor’s/Master’s degree in Computer Science or Data Engineering
Tools
PostgreSQL
MySQL
NoSQL
Snowflake
Redshift
BigQuery
Docker
Kubernetes
Airflow
Prefect
Dagster
Job description
A data engineering firm is seeking a skilled Data Engineer to design and maintain scalable data pipelines. This role involves transforming raw data into actionable insights and collaborating with data experts to ensure data integrity across systems. The ideal candidate will possess strong SQL and programming skills, knowledge of big data technologies, and relevant educational qualifications. Competitive salary and professional growth opportunities are available.