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Top In-demand Skills for Data Engineers

Data engineering is one of the biggest investment areas for most companies today.

With data science becoming an important element to improve bottom lines and to get a sense of trends among other interesting stuff that one can do with it, there is a constant demand for data engineers and data scientists in India.  

While there are data engineering jobs in the market, the competition is also fierce. So, how do you stand out from the crowd and attract a recruiter’s attention?

Today, it’s not only about getting noticed but also how do you get an opportunity to showcase your skills, knowledge and experience in front of the hiring manager.

With automation taking center stage in the hiring process in COVID-19 times, the focus is now how do you get the right candidate for the right job.

Even before your resume gets a chance to be viewed by the recruiter it has to pass through ATS or such tools that rely on keywords in a resume to shortlist a candidate. Most recruiters search for resumes in ATS and online job portals using various keywords.

So, if you are looking to add relevant data engineer skills, you may choose to add the skills given below. Skills on your resume can be divided into hard and soft skills. Hard skills can further be grouped into software skills and operational skills.

Data engineer hard skills

These skills help recruiters in determining what potential you have to handle the technical domain and what value you can add to the business. If hiring at a managerial position, these skills also help the recruiters to understand that you have any trainable skill or not which can help you and your team to learn and progress.

  • Software & Technology Skills

RDBMS, ETL, SSRS, SSIS, SSAS, SQL development, SQL queries, Erwin, MDM, data models, Python, Fuzzy Matching, Data Lakes, Non-Relational DB, SAS language, Hadoop, Spark, Yarn, Hive, Kafka, Scala, Java, Map Reduce, Spark, Oozie, Hue, WebSphere Customer Centre (DWL), CIIS, Siperian, IBM Infosphere MDM, Unix scripting, DDL, Bit Bucket, Agile Methodology,  Airflow, Kinesis, RDS, Dynamo, Amazon Web Services, Tableau, Pandas, Cloud Architecture, Azure SQL Data Warehouse, Azure cloud data, T-SQL, Databricks, Azure Data Factory, Collibra, Informatica, Cognos, Enterprise Data Catalogue, IDQ, Postgres, PostgreSQL, Kubernetes, CI/CD pipelines, Jenkins, Harness, HBase, HDFS, Pig, REST/SOAP, Teradata, NumPy, Scikit learn, NLTK, VBA, PaaS, Big Query, GIT, SVN, Galera, PXC, Inno DB cluster, MHA, Oracle RAC, Golden Gate, SDLC, Mat Lab, Python So, R, Apache, WEKA, SPSS Modeler

  • Operational Skills

Data integration, data cleansing, data infrastructure, Platform-as-a-Service, Database High Availability solutions, Big Data, Cloud Databases, DataStage, Data modelling, Shell scripting, data architecture, Extract-Transformation-Load, Business Analytics, business intelligence, Data Warehousing, Data Visualization, Batch Integration, Stored Procedures.

Data engineer soft skills

These skills help the recruiter in understanding your persona. Soft skills show your overall personality and help recruiters in understanding if you would be a good fit for the company’s culture and the team you are being hired for.

Some of the soft skills are given below that you can add to your resume basis your job profile:

  • Management
  • Critical Thinking
  • Mentoring
  • Risk Management
  • Communication
  • Time Management
  • Cooperation
  • Presentation Skills
  • Team Player

So, if you are looking for a job as a data engineer, you may take a fresh look at your resume and add some relevant data engineer skills to increase your chances of finding a job.

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