Job
Description
Experience: 5+ Years Role Overview: Responsible for designing, building, and maintaining scalable data pipelines and architectures. This role requires expertise in SQL, ETL frameworks, big data technologies, cloud services, and programming languages to ensure efficient data processing, storage, and integration across systems. Requirements: • Minimum 5+ years of experience as a Data Engineer or similar data-related role. • Strong proficiency in SQL for querying databases and performing data transformations. • Experience with data pipeline frameworks (e.g., Apache Airflow, Luigi, or custom-built solutions). • Proficiency in at least one programming language such as Python, Java, or Scala for data processing tasks. • Experience with cloud-based data services and Datalakes (e.g., Snowflake, Databricks, AWS S3, GCP BigQuery, or Azure Data Lake). • Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka). • Experience with ETL tools (e.g., Talend, Apache NiFi, SSIS, etc.) and data integration techniques. • Knowledge of data warehousing concepts and database design principles. • Good understanding of NoSQL and Big Data Technologies like MongoDB, Cassandra, Spark, Hadoop, Hive, • Experience with data modeling and schema design for OLAP and OLTP systems. • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Educational Qualification: Bachelor’s/Master’s degree in computer science, Information Technology, or a related field. Show more Show less
