{"id":999881393,"date":"2014-07-28T21:07:00","date_gmt":"2014-07-28T21:07:00","guid":{"rendered":"https:\/\/dice.npgdev.com\/?p=665169498"},"modified":"2014-07-28T21:07:00","modified_gmt":"2014-07-28T21:07:00","slug":"transferable-skills-guide-big-data-engineer","status":"publish","type":"post","link":"https:\/\/dice.npgdev.com\/hiring\/recruitment\/transferable-skills-guide-big-data-engineer","title":{"rendered":"Transferable Skills Guide &#8211; Big Data Engineer"},"content":{"rendered":"<p><strong><strong><a href=\"http:\/\/wp.me\/p4fxV6-3pp\" title=\"Transferrable Skills Guide Overview\">Return to Main Article \u2013 Transferable Skills Guide Overview<\/a><\/strong><\/strong><\/p>\n<p><em>Sourcing tech professionals with certain emerging or hard-to-find skills can be a challenge  \u2013 even for the most seasoned recruiter.<\/em> <em>In the second installment of our &#8220;Transferable Skills Guide&#8221; series, we look at the Big Data Engineering role and skill-sets in other disciplines that translate to success in big data. Use these tips to better evaluate tech candidates and build a bigger pipeline of talent.<\/em><\/p>\n<h2><u><strong><strong>Big Data Engineer<\/strong><\/strong><\/u><\/h2>\n<p>Big data engineers are a new breed. A mix between data scientist and engineer, the skills required for big data engineering roles aren\u2019t necessarily new things. And while I always like to know how big is \u201cBIG\u201d to each candidate, the reality is that size doesn\u2019t matter \u2013 experience does. Most big data roles require a bit more math or scientific analysis than traditional engineering roles. <span><strong><strong>YOU CAN DO LOTS OF THINGS WITH DATA <em>Analysis, storage, transformation, and collection<\/em><\/strong><\/strong><\/span> For big data engineering, positions can go in a few different directions. Typically the role will include a subset of the following high-level skills:<\/p>\n<ul>\n<li><strong>Data Analysis<\/strong> \u2013 This is the processing of the data and is often referred to as MapReduce, Hadoop or even data mining. Sometimes this can include more specialized techniques like machine learning or even statistical analysis.<\/li>\n<li><strong>Data Warehousing<\/strong> \u2013 This involves being familiar with large data stores. It can be putting data in or taking data out.<\/li>\n<li><strong>Data Transformation<\/strong> \u2013 In order to do data analysis, sometimes data needs to be changed or transformed into a different format. This is also referred to as ETL or even just scripting.<\/li>\n<li><strong>Data Collection<\/strong> \u2013 This is the process of collecting or extracting data from an existing database, API or even crawling the web.<\/li>\n<\/ul>\n<p>Depending on the specifics of the role, it can require a lot or a little specialized knowledge of different systems. However, typically knowledge in one area will translate well to other areas.<\/p>\n<h3><span><strong><strong>What to look for:<\/strong><\/strong><\/span> <span><strong><strong><em>Data Analysis<\/em><\/strong><\/strong><\/span><\/h3>\n<ul>\n<li><strong>MapReduce, Hadoop, Cloudera, IBM Big Insights, Hortonworks or MapR. <\/strong>MapReduce is a technique for processing large datasets across many different computing instances (often referred to as a cluster), and Hadoop is the most common implementation of MapReduce (Hadoop can have different distributions or flavors, too). You may also see tools associated with Hadoop like Hive, Pig, or Oozie for example.   Most people tend to have experience with one implementation of MapReduce (since most of these tools are only a few years old) but the underlying algorithms make it easy to learn new ones with a few weeks of ramp up time.<\/li>\n<li><strong>Data mining or machine learning.<\/strong> If a candidate has experience withone of these, it is pretty likely they will be able to tackle a role requiring either of them. This can include technologies like Mahout, or more specialized techniques like Neural Networks.<\/li>\n<li><strong>Statistical analysis software \u2013 R, SPSS, SAS, Weka, MATLAB<\/strong>. Most data scientists should have some statistical experience, but not all of them will use software to do their work. For example, some may use more traditional programming languages like Java to do the analysis. Experience with one of these will usually translate well to another language.<\/li>\n<li><strong>Programming skills<\/strong> \u2013 <strong>Java, Scala, Ruby, C++.<\/strong> Typically more heavy lifting programming skills will be required for custom implementations or specialized implementations (leveraging things like machine learning, etc.). However, usually experience with one will make it easier to pick up a new language in a few months time.<\/li>\n<\/ul>\n<h3><span><strong><strong><em>Data Warehousing <\/em><\/strong><\/strong><\/span><\/h3>\n<ul>\n<li><strong>Relational Databases \u2013 MySQL, MS SQL Server, Oracle, DB2.<\/strong> Experience with one of these will make it easier to learn the basics of a new one in a matter of weeks. To become an expert though, it might take a new hire many months.<\/li>\n<li><strong>NoSQL \u2013 HBase, SAP HANA, HDFS, Cassandra, MongoDB, CouchDB, Vertica, Greenplum Pentaho, and Teradata. <\/strong>These NoSQL platforms can be called key-value stores, graph databases, RDF triple stores, or distributed databases. Knowledge of NoSQL variants is often a signal of more experience, or specialized data extraction. This may be a nice to have, but these databases tend to work very differently and knowledge of one won\u2019t necessarily translate to well to others.<\/li>\n<\/ul>\n<h3><span><strong><strong><em>Data Collection<\/em><\/strong><\/strong><\/span><\/h3>\n<ul>\n<li><strong>Data APIs<\/strong> <strong>(e.g. RESTful interfaces)<\/strong>. Most candidates should have some experience working with APIs to collect or ingest data. If not, any candidate with programming or scripting experience can pick this up in less than a week.<\/li>\n<li><strong>SQL expertise and data modeling.<\/strong> This is something all candidates should have, and since it is fundamental, most people with an engineering background will likely need to brush up their skills quickly with an online class or bit of training.<\/li>\n<\/ul>\n<h3><span><strong><strong><em>Data Transformation<\/em><\/strong><\/strong><\/span><\/h3>\n<ul>\n<li><strong>ETL tools \u2013 Informatica, DataStage, SSIS, Redpoint<\/strong>. ETL tools are used to transform structured and unstructured data. Generally experience with one of them will enable a candidate to pick up others easily.<\/li>\n<li><strong>Scripting<\/strong> \u2013<strong> Linux\/Unix commands, Python, Ruby, Perl<\/strong>. While each of these languages work differently, a candidate with knowledge of one type of scripting, or a high level programming language like Java should be able to pick up a new one in under a month.<\/li>\n<\/ul>\n<p>Big data engineers can come in all shapes and sizes (some \u201cbigger\u201d than others), but the skills required can vary a lot depending on the position. Not all roles require knowledge in each of these areas, so be sure to pay attention to the ones that matter most to the hiring manager. Also keep in mind that most of the technologies are still new in this field, but a person with a background in data science, or even a programmer with strong math skills, can build the expertise required.<\/p>\n<p>\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2013<\/p>\n<p><span><strong><strong>View Transferable Skills Guides for other tech positions below:<\/strong><\/strong><\/span><\/p>\n<ul>\n<li><a href=\"http:\/\/wp.me\/p4fxV6-3ps\" target=\"_blank\" title=\"Transferable Skills Guide: Big Data Engineer\">Big Data Engineer <\/a><\/li>\n<li><a href=\"http:\/\/wp.me\/p4fxV6-3pz\" target=\"_blank\" title=\"Transferable Skills Guide: Cloud Engineer\">Cloud Engineer<\/a><\/li>\n<li><a href=\"http:\/\/wp.me\/p4fxV6-3pI\" target=\"_blank\" title=\"Transferable Skills Guide: DevOps Engineer\">DevOps Engineer<\/a><\/li>\n<li><a href=\"http:\/\/wp.me\/p4fxV6-3pL\" target=\"_blank\" title=\"Transferrable Skills Guide: Front-End Developer\">Front-End Developer<\/a><\/li>\n<li><a href=\"http:\/\/wp.me\/p4fxV6-3pG\" target=\"_blank\" title=\"Transferable Skills Guide: Mobile Developer\">Mobile Developer<\/a><\/li>\n<li><a href=\"http:\/\/wp.me\/p4fxV6-3pv\" target=\"_blank\" title=\"Transferable Skills: QA Engineer\">QA Engineer<\/a><\/li>\n<li><a href=\"http:\/\/wp.me\/p4fxV6-3pm\" target=\"_blank\" title=\"Transferable Skills Guide: UX Designer\">UX Designer<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Return to Main Article \u2013 Transferable Skills Guide Overview Sourcing tech professionals with certain emerging or hard-to-find skills can be a challenge \u2013 even for the most seasoned recruiter. In the second installment of our &#8220;Transferable Skills Guide&#8221; series, we look at the Big Data Engineering role and skill-sets in other disciplines that translate to [&hellip;]<\/p>\n","protected":false},"author":132,"featured_media":665169498,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[2154],"class_list":["post-999881393","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sourcing-candidates"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v23.2 (Yoast SEO v27.1.1) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Transferable Skills Guide - Big Data Engineer - Dice Hiring<\/title>\n<meta name=\"description\" content=\"Return to Main Article \u2013 Transferable Skills Guide Overview Sourcing tech professionals with certain emerging or hard-to-find skills can be a challenge \u2013\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dice.npgdev.com\/hiring\/recruitment\/transferable-skills-guide-big-data-engineer\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Transferable Skills Guide - Big Data Engineer\" \/>\n<meta property=\"og:description\" content=\"Return to Main Article \u2013 Transferable Skills Guide Overview Sourcing tech professionals with certain emerging or hard-to-find skills can be a challenge \u2013\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dice.npgdev.com\/hiring\/recruitment\/transferable-skills-guide-big-data-engineer\" \/>\n<meta property=\"og:site_name\" content=\"Dice Hiring\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/dice\" \/>\n<meta property=\"article:author\" content=\"https:\/\/www.facebook.com\/dice\/\" \/>\n<meta property=\"article:published_time\" content=\"2014-07-28T21:07:00+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dice.npgdev.com\/hiring\/wp-content\/uploads\/2025\/02\/shutterstock_161971016-3.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"667\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Dice Staff\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@Dicedotcom\" \/>\n<meta name=\"twitter:site\" content=\"@Dicedotcom\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Dice Staff\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/dice.npgdev.com\/hiring\/recruitment\/transferable-skills-guide-big-data-engineer#article\",\"isPartOf\":{\"@id\":\"https:\/\/dice.npgdev.com\/hiring\/recruitment\/transferable-skills-guide-big-data-engineer\"},\"author\":{\"@type\":\"Person\",\"name\":\"Dice Staff\",\"url\":\"https:\/\/dice.npgdev.com\/hiring\/authors\/dice-staff\",\"sameAs\":[\"https:\/\/x.com\/https:\/\/x.com\/Dicedotcom\",\"https:\/\/www.linkedin.com\/in\/https:\/\/www.linkedin.com\/company\/dice\"]},\"headline\":\"Transferable Skills Guide &#8211; 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