Data Engineer/ Senior Data Engineer (ETL)
Posted: 4 days ago
Job Description
Requirements: • A Bachelor’s Degree in Computer Science or equivalent.• Data Engineers with 2-3 years of experience, and Senior Data Engineers with 3-4 years of experience in developing enterprise-grade data processing applications• A strong programming background in data ops (Python, Shell, SQL) • Experience in processing large volumes of data • Hands-on experience working with relational/NoSQL databases and distributed storage engines (HDFS, S3, Redshift) • Hands-on experience in ETL design and development using ETL tools (Preferably Informatica and cloud tools such as AWS Data Pipelines, Glue, Lambda, EMR, Spark, Hive and data engineering tools and services on Google Cloud Platform) • Experience in working with streaming data (using tools such as Kenisis, Kafka, Storm, Spark) will be an added advantage • Experience in API development and user interfaces and related tools (NodeJS, AngularJS, HTML) will be an added advantage • Experience working in a Scrum Agile delivery environment and DevOps practices • Experience in code management and CICD tools such as Github, Gitlab and Jenkins • Experience in an agile environment and aligning Pod members on technical visions and path to implementation • A strong desire to continue to grow your skillset • Strong communication skills that are influential and convincing
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