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Job Summary Data Engineer Consultant Job Description Data Engineer (DE) Consultant is responsible for designing, developing, and maintaining data assets and data related products by liaising with multiple stakeholders. Qualifications And Skills Robust knowledge on Python and Pyspark - Expectation is to have ability to write Pyspark scripts for developing data workflows. Strong knowledge on SQL, Hadoop, Hive, Azure, Databricks and Greenplum - Expectation is to write SQL to query metadata and tables from different data management system such as, Oracle, Hive, Databricks and Greenplum. Familiarity with big data technologies like Hadoop, Spark, and distributed computing frameworks. Expectation is to use Hue and run Hive SQL queries, schedule Apache Oozie jobs to automate the data workflows. Good working experience of communicating with the stakeholders and collaborate effectively with the business team for data testing. - Expectation is to have strong problem-solving and troubleshooting skills. Expectation is to establish comprehensive data quality test cases, procedures and implement automated data validation processes. Degree in Data Science, Statistics, Computer Science or other related fields or an equivalent combination of education and experience. 5-7 years of experience in Data Engineer. Proficiency in programming languages commonly used in data engineering, such as Python, Pyspark, SQL. Experience in Azure cloud computing platform, such as developing ETL processes using Azure Data Factory, big data processing and analytics with Azure Databricks. Strong communication, problem solving and analytical skills with the ability to do time management and multi-tasking with attention to detail and accuracy. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.