Senior Cloud Data Engineer
4 days ago
We are seeking a highly skilled GCP Data Engineer to join our team. Overview
About Sm IT Services
Sm IT Services is a technology-driven company providing innovative solutions to clients across various industries. Our team of experts works together to design, build, and maintain scalable data pipelines using GCP services.
Job Description:
We require a talented Data Engineer with expertise in designing, developing, and maintaining large-scale data processing systems on Google Cloud Platform (GCP). The ideal candidate will have hands-on experience with SQL, Python, BigQuery, Dataflow/Airflow, and Dataproc.
Main Responsibilities:
- Data Pipeline Design and Development: Design, develop, and maintain scalable and robust data pipelines using GCP services.
- Data Warehousing and Analytics: Work with BigQuery to design and optimize data warehouses and analytical solutions.
- Data Processing Workflows: Develop data processing workflows using Dataflow and/or Apache Beam.
- ETL Processes and Orchestration: Implement and manage ETL processes and data orchestration with Airflow.
- Big Data Processing: Leverage Dataproc for big data processing tasks using Hadoop, Spark, and other technologies.
- SQL Queries and Data Manipulation: Write efficient SQL queries for data extraction, transformation, and loading (ETL).
- Automation and Integration: Utilize Python for data manipulation, automation, and integration tasks.
Requirements:
- Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
- Experience: Proven experience as a Data Engineer with a focus on GCP.
- Technical Skills: Proficiency in SQL and experience with relational databases; strong programming skills in Python; hands-on experience with BigQuery for data warehousing and analytics; knowledge of data processing frameworks such as Dataflow and/or Apache Beam; familiarity with Airflow for data pipeline orchestration; knowledge of Dataproc and big data technologies like Hadoop and Spark.
Preferred Skills:
- GCP Services: Experience with other GCP services such as Cloud Storage, Pub/Sub, and Cloud Functions.
- Data Security: Knowledge of data security and compliance best practices.
- Machine Learning: Familiarity with machine learning workflows and tools on GCP.
- Version Control: Experience with version control systems like Git.
Salary: We offer an estimated salary range of $120,000 - $160,000 per year, depending on the candidate's experience and qualifications.
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