Requirements

📍Bachelor's degree in computer science, Engineering, or a related field. 📍2-4 years of experience in data engineering or a related role. 📍Proficiency in programming languages such as Python or Java. 📍Strong experience with SQL and relational databases (e.g., MySQL, PostgreSQL, SQL Server). 📍Familiarity with big data technologies (e.g., Hadoop, Spark) and data processing frameworks. 📍Experience with ETL tools (e.g., Talend, Apache Nifi) and data integration processes. 📍Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. 📍Strong problem-solving skills and attention to detail. 📍English communication skills, both written and verbal is a plus point.

Preferred Skills

📍Experience with NoSQL databases (e.g., MongoDB, Cassandra). 📍Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery). 📍Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). 📍Understanding of machine learning and data analytics concepts. 📍Experience with version control systems (e.g., Git) and CI/CD pipelines. 📍Certification in cloud data services or big data technologies.