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As a Senior Data Engineer, you will build a variety of big data analytics solutions, including big data lakes. More specifically, you will:
Design and build scalable data ingestion pipelines to handle real time streams, CDC events, and batch data Execute high-performance data processing for structured and unstructured data, and data harmonization Schedule, orchestrate, and validate pipelines Design exception handling and log monitoring for debugging Make tech stack and tools related decisions Collaborate with business consultants, data scientists, and application developers to develop analytics solutions Required Experience, Skills & Competencies:
Hands-on experience with: Hadoop ecosystem - HDFS, Hive, Sqoop, Kafka, ELK Stack etc Spark, Scala, Python and core/advance Java NOSQL databases e.g. Hbase, Cassandra, MongoDB Relevant AWS or Azure components required to build big data solutions Good to know: Databricks, Snowflake Ability to develop and manage scalable Hadoop cluster environments Good understanding of data warehousing concepts, distributed systems, data pipelines, ETL 5-10 years of tech experience with at least 3 years in big data engineering
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More specifically, you will:</span></span></span></span><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></p><ul style=\"orphans: 2; text-indent: 0px; widows: 2\"><li style=\"text-align: justify\" class=\"align-justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Design and build scalable data ingestion pipelines to handle real time streams, CDC events, and batch data</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li style=\"text-align: justify\" class=\"align-justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Execute high-performance data processing for structured and unstructured data, and data harmonization</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li style=\"text-align: justify\" class=\"align-justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Schedule, orchestrate, and validate pipelines</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li style=\"text-align: justify\" class=\"align-justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Design exception handling and log monitoring for debugging</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li style=\"text-align: justify\" class=\"align-justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Make tech stack and tools related decisions</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li style=\"text-align: justify\" class=\"align-justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Collaborate with business consultants, data scientists, and application developers to develop analytics solutions</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li></ul><p style=\"margin: 0px 0px 10px; text-align: justify\" class=\"align-justify\"><span class=\"highlight\" style=\"\"><span class=\"colour\" style=\"\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\"><b>Required Experience, Skills & Competencies: </b></span></span></span></span><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></p><ul style=\"orphans: 2; text-indent: 0px; widows: 2\"><li style=\"\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Hands-on experience with:</span></span><ul style=\"\"><li style=\"text-align: justify\" class=\"align-justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\"> Hadoop ecosystem - HDFS, Hive, Sqoop, Kafka, ELK Stack etc</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li style=\"text-align: justify\" class=\"align-justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\"> Spark, Scala, Python and core/advance Java</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li style=\"text-align: justify\" class=\"align-justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\"> NOSQL databases e.g. Hbase, Cassandra, MongoDB</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li style=\"text-align: justify\" class=\"align-justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\"> Relevant AWS or Azure components required to build big data solutions</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li style=\"text-align: justify\" class=\"align-justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\"> Good to know: Databricks, Snowflake</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li></ul></li><li style=\"text-align: justify\" class=\"align-justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Ability to develop and manage scalable Hadoop cluster environments</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li style=\"text-align: justify\" class=\"align-justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Good understanding of data warehousing concepts, distributed systems, data pipelines, ETL</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li><li style=\"text-align: justify\" class=\"align-justify\"><span class=\"size\" style=\"font-size: 13px\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">5-10 years of tech experience with at least 3 years in big data engineering</span><span class=\"font\" style=\"font-family: verdana, sans-serif\"><br /></span></span></li></ul><div class=\"align-justify\" style=\"text-align: justify\"><br /></div></span><br />","isHybridJob":false,"isRemoteJob":false,"noOfOpenings":1,"maxExperience":"10","minExperience":"5","isOnPremiseJob":true,"onBehalfOfName":"Tiger Analytics","otherlocations":[],"zohoCurrencyIn":"USD","experienceLevel":"Mid / Senior","zohoNoOfOpenings":{"noOfOpenings":1,"fulfillmentIds":["557706000009873025-1"]},"otherJobReference":null,"sharpenedJobTitle":"Senior Data Engineer","job_category_group":3,"portalLocationDisplay":"Chennai TN","expertise_coreskill_or_product":["Other"],"job_id":"2660"}
