{"id":2685,"date":"2025-02-03T10:48:22","date_gmt":"2025-02-03T10:48:22","guid":{"rendered":"https:\/\/letzbizz.com\/recruitment\/?post_type=awsm_job_openings&#038;p=2685"},"modified":"2025-04-08T10:15:57","modified_gmt":"2025-04-08T10:15:57","slug":"senior-data-engineer","status":"publish","type":"awsm_job_openings","link":"https:\/\/letzbizz.com\/recruitment\/jobs\/senior-data-engineer\/","title":{"rendered":"Data Engineer"},"content":{"rendered":"<h5><strong>Data Engineer \u2013 Chennai<\/strong><\/h5>\n<p><strong>Location:<\/strong> Chennai &#8211; WFO<br \/>\n<strong>Experience:<\/strong> 3+ Years<br \/>\n<strong>Notice Period:<\/strong> Immediate joiners preferred (or less than 20 days)<br \/>\n<strong>Work Mode:<\/strong> Full-Time<br \/>\n<strong>Salary:<\/strong> Best in the industry<\/p>\n<h5><strong>About the Role<\/strong><\/h5>\n<p>We are seeking highly skilled and experienced Senior Data Engineers with a deep understanding of data architecture, Big Data technologies, and large-scale data processing. The ideal candidate must have a strong technical background, extensive hands-on experience, and excellent communication skills to collaborate with cross-functional teams.<\/p>\n<p>-Experience with big data tools: Hadoop, Spark, Kafka, etc.<br \/>\n-Experience with relational SQL and NoSQL databases, including MongoDB, Postgres and Cassandra, AWS Redshift, Snowflake<br \/>\n-Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.<br \/>\n-Experience with AWS cloud services: EC2, EMR, ETL, Glue, RDS, Redshift<br \/>\n-Experience with stream-processing systems: Storm, Spark-Streaming, etc.<br \/>\n-Experience with object-oriented\/object function scripting languages: Python, Java, etc.<br \/>\n-Knowledge of data pipelines and workflow management tools like Airflow<\/p>\n<p><strong>Responsibilities for Data Engineer<\/strong><\/p>\n<ul>\n<li>Create and maintain the optimal data pipeline architecture, Assemble large, complex data sets that meet functional \/ non-functional business requirements.<\/li>\n<li>Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.<\/li>\n<li>Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS \u2018big data\u2019 technologies.<\/li>\n<li>Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.<\/li>\n<li>Work with stakeholders, including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.<\/li>\n<li>Keep our data separated and secure across national boundaries through multiple data centres and AWS regions.<\/li>\n<li>Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.<\/li>\n<li>Work with data and analytics experts to strive for greater functionality in our data systems.<\/li>\n<\/ul>\n<p><strong>Qualifications for Data Engineer<\/strong><\/p>\n<ul>\n<li>We are looking for a candidate with 3+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software\/tools:<\/li>\n<li>Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.<\/li>\n<li>Experience building and optimizing \u2018big data\u2019 data pipelines, architectures and data sets.<\/li>\n<li>Experience performing root cause analysis of internal and external data and processes to answer specific business questions and identify opportunities for improvement.<\/li>\n<li>Strong analytic skills related to working with unstructured data sets.<\/li>\n<li>Build processes supporting data transformation, data structures, metadata, dependency and workload management.<\/li>\n<li>A successful history of manipulating, processing and extracting value from large disconnected datasets.<\/li>\n<li>Working knowledge of message queuing, stream processing, and highly scalable \u2018big data\u2019 data stores.<\/li>\n<li>Strong project management and organizational skills.<\/li>\n<li>Experience supporting and working with cross-functional teams in a dynamic environment.<\/li>\n<li>Experience with big data tools: Hadoop, Spark, Kafka, etc.<\/li>\n<li>Experience with relational SQL and NoSQL databases, including MongoDB, Postgres and Cassandra, AWS Redshift, Snowflake<\/li>\n<li>Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.<\/li>\n<li>Experience with AWS cloud services: EC2, EMR, ETL, Glue, RDS, Redshift<\/li>\n<li>Experience with stream-processing systems: Storm, Spark-Streaming, etc.<\/li>\n<li>Experience with object-oriented\/object-function scripting languages: Python, Java, etc.<\/li>\n<li>Knowledge of data pipelines and workflow management tools like Airflow<\/li>\n<\/ul>\n<p><strong><a href=\"https:\/\/forms.fillout.com\/t\/29ic6vgUzKus\">Apply here<\/a><\/strong><\/p>\n<p>hr@letzbizz.com<\/p>\n<p>Referrals are welcome.<\/p>\n<p><em>#Hiring #SeniorDataEngineer #BigData #ChennaiJobs #ETL #AWS #SQL #DataPipelines #DataEngineering #Python #Java #Kafka #Hadoop #MachineLearning<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data Engineer \u2013 Chennai Location: Chennai &#8211; WFO Experience: 3+ Years Notice Period: Immediate joiners preferred (or less than 20&#8230;<\/p>\n","protected":false},"author":1,"template":"","meta":{"om_disable_all_campaigns":false,"_uf_show_specific_survey":0,"_uf_disable_surveys":false},"class_list":["post-2685","awsm_job_openings","type-awsm_job_openings","status-publish","hentry","no-post-thumbnail","pt-10"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.9 - 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