Data Engineer (6–8 Years) Adhoc

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. 

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)