Data Engineer

Zazz

5-8 Years | Worldwide (Remote) | Full Time | 10 months ago

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Job Summary

This remote Data Engineer role requires 5+ years of experience. Responsibilities include data processing and pipeline development using Python, SQL, and tools like Apache Spark, Kafka, or Flink. Experience with cloud data solutions (AWS S3, Redshift, Google BigQuery, or Azure Data Lake) and CI/CD tools (Git) is essential. Strong problem-solving, communication, and collaboration skills are needed. Familiarity with NoSQL databases, containerization, Hadoop, and data visualization tools is preferred. The role involves designing, building, and maintaining data pipelines for efficient data processing and analysis.

Must Have

5+ years Data Engineering experience
Proficiency in Python & SQL
Experience with data pipeline tools (Spark, Kafka, Flink)
Cloud data solutions (AWS, Azure, GCP)
CI/CD and Git experience

Good to Have

NoSQL databases (MongoDB, Cassandra)
Containerization (Docker, Kubernetes)
Hadoop experience
Cloud certifications
Data visualization tools (Tableau, Power BI)

Job Description

This is a remote position.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

5+ years of professional experience as a Data Engineer or in a related role.

Proficiency in Python for data processing and pipeline development.

Strong knowledge of SQL and experience working with relational databases (e.g., PostgreSQL, MySQL, or Snowflake).

Hands-on experience with data pipeline tools and frameworks (e.g., Apache Spark, Kafka, or Flink).

Familiarity with cloud data solutions such as AWS S3, Redshift, Google BigQuery, or Azure Data Lake.

Experience with CI/CD tools and version control systems like Git.

Strong problem-solving skills and attention to detail.

Excellent communication and collaboration skills.

Preferred Qualifications

Familiarity with NoSQL databases (e.g., MongoDB, Cassandra).

Experience with containerization technologies (Docker, Kubernetes).

Knowledge of big data processing tools and frameworks (e.g., Hadoop).

Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.).

Familiarity with data visualization tools and BI platforms (e.g., Tableau, Power BI)

21 Skills Required For This Role

Communication Data Analytics Github Postgresql Mysql Aws Nosql Azure Data Visualization Power Bi Tableau Hadoop Spark Mongodb Ci Cd Cassandra Docker Kubernetes Git Python Sql

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