DATA OPERATIONS ENGINEER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: October 4, 2024 - The Data Operations Engineer excels in Linux-based infrastructure, demonstrates strong Unix/Linux administration skills, and has practical experience with databases, Hadoop, Teradata, and other Big Data ETL technologies. Proficient in troubleshooting and resolving Python code bugs, this role requires knowledge of scripting languages like Ruby, Python, or Perl, along with familiarity with Git and SQL. With an understanding of DevOps, ITIL, and Agile principles, the role brings a detail-oriented approach, strong problem-solving skills, and a passion for analytics and cloud computing platforms, complemented by an interest in financial markets.

Essential Hard and Soft Skills for a Standout Data Operations Engineer Resume
  • SQL
  • Data Warehousing
  • ETL Development
  • Python
  • Cloud Computing
  • Data Integration
  • API Management
  • Linux/Unix
  • Shell Scripting
  • Database Management
  • Problem Solving
  • Communication
  • Attention to Detail
  • Time Management
  • Adaptability
  • Team Collaboration
  • Critical Thinking
  • Analytical Thinking
  • Multitasking
  • Decision Making

Summary of Data Operations Engineer Knowledge and Qualifications on Resume

1. BS in Data Science with 3 years of experience

  • Experience with SQL Server and other relational database management systems
  • In-depth technical understanding of data warehouse designs and concepts
  • Experienced in troubleshooting database and server performance, integrity, connectivity and security-related issues
  • Proficient in business communication - both written and verbal
  • Ability to assess rapidly changing technologies and apply them to achieving business outcomes
  • Understanding of industry data privacy concerns, practices and control systems
  • Experience with TeamCity, Octopus, Databricks and Python 
  • Experienced in IT Service Management techniques
  • Demonstrated success in learning new technologies quickly
  • Experience developing with Java or Python
  • Experienced in data manipulation tools such as SQL, Python, and Sparks
  • Understand business needs and have the ability to make complex information accessible
  • Knowing how to use visualization tools (Tableau, Power BI...)

2. BS in Information Systems with 5 years of experience

  • Experience working on Linux-based infrastructure
  • Experience troubleshooting techniques and fixing Python code bugs
  • Awareness of critical concepts in DevOps, ITIL and Agile principles
  • Detail-oriented, flexible, adaptable, problem solver who has exceptional root-cause identification and collaboration skills. 
  • Understanding of technical platforms for analytics, experience with cloud computing platforms and a passion for the data space.
  • Knowledge and experience in at least one scripting language (e.g., Ruby, Python, Perl)
  • Have basic knowledge of Git and SQL
  • Knowledge of financial markets and interest in economics and finance
  • Strong organizational and communication skills, both verbal and written
  • Experience in Data Warehousing, Business Intelligence, and Analytics.
  • Experience working with databases, Hadoop, Teradata and other Big Data ETL technologies
  • Strong Linux/Unix administration skills

3. BS in Computer Science with 4 years of experience

  • Knowledge of data integration patterns and related challenges
  • Good organizational skills, ability to manage multiple tasks at the same time
  • Experience working with analytics and insights solutions
  • Experience working with data management including data preparation and cleansing for analytics
  • Experience with data quality management
  • Experience working with PostgreSQL, MS SQL
  • Proven knowledge of Tableau or other industry standard data visualization tools (develop, deploy and administration areas)
  • Experience working with JIRA, Confluence
  • Good communication skills (verbal & written)
  • Proactive approach and goal-oriented mindset, research, problem-solving and analytical skills
  • Pharmaceutical Experience
  • Practical knowledge of Agile (Scrum) and SAFe methodologies
  • Experience with ETL-related services

4. BS in Software Engineering with 5 years of experience

  • Proficient in IT operations procedures and support processes.
  • Proficient in ETL methodologies and tools such as Databricks, PySpark, Informatica
  • Experience working with cloud platforms, big data platforms, and DevOps in operations areas.
  • Good understanding of interdependencies between OS/hardware, storage, network, databases, load balancers and impact on (Data) systems availability and operations.
  • Experience building or maintaining solutions using AWS, cloud technologies, DevOps, Continuous Integration and automation methodologies.
  • Proficient in release management, change management, problem management and other IT operational methodologies.
  • Good understanding of security principles, microservices, API management, cost and usage management of cloud-based data platforms
  • Ability to prioritize business needs based on importance, vitality, or impact on order-taking/order fulfillment/revenue generation processes.
  • Excellent verbal and written communication. 
  • Ability to connect with team members at multiple levels.
  • Ability to understand and derive insights from data. 

5. BS in Data Engineering with 4 years of experience

  • Experience with python, shell scripting, and Java to automate infrastructure buildup and changes
  • Experience with manageability and automation interface of AWS services
  • Experienced in Cloudera CDH/CDP platform or AWS Cloud Services, e.g., EC2, EMR will be a big plus
  • Experience with operation, production support, and troubleshooting 
  • Knowledge of system design and implementation towards infrastructure management and operations
  • Programming experience in Ansible, Terraform, Chef (or any infrastructure as code), and will learn new programming languages to meet goals
  • Knowledge of Data Vault, Inmon, or Kimball data architecture 
  • A passion for data and information with strong analytical, problem-solving, and organizational skills.
  • Experience with various technologies, frameworks and processes, such as Hadoop, Tableau, Grafana, Splunk, data warehousing, data flow mapping, requirements gathering, testing and data validation techniques.
  • Big Data technology stack administration skills (such as NiFi)
  • Experience working in ITIL based environment is expected

6. BS in Business Analytics with 5 years of experience

  • Experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, Kafka, Flink etc) for building efficient, large-scale ‘big data’ pipelines
  • Experience in setting up production Hadoop/Spark clusters with optimum configurations
  • Experience with Kafka, Spark, or related technologies
  • Experience working with AWS big data technologies (EMR, Redshift, S3, Glue, Kinesis, Dynamodb, and Lambda)
  • Good knowledge of the creation of volumes, security group rules, key pairs, floating IPs, images/snapshots and deployment of instances on AWS
  • Experience configuring and/or integrating with monitoring and logging solutions such as Syslog, ELK Stack (ElasticSearch, LogStash, and Kibana)
  • Strong UNIX/Linux systems administration skills including configuration, troubleshooting and automation
  • Knowledge of Airflow, NiFi, Streamsets, or related technologies
  • Knowledge of container virtualization
  • Experience with data manipulation to analyze patterns, anomalies, and trends.
  • Experience in ETL, data engineering areas demonstrating cloud platform services and DevOps methodologies.
  • Experience in IT project delivery or operations or management.

7. BS in Mathematics with 4 years of experience

  • Experience in data visualization, IT operations or software engineering
  • Demonstrated experience with AWS services, Cloud ELT/ETL, and visualization tools (ThoughtSpot, Kibana, Tableau, PowerBI)
  • Experience with data warehousing (Snowflake, Redshift, etc), Linux, SQL and Python
  • Experience working in an operations/support role
  • Knowledge of end-to-end data lifecycle across traditional data warehouses, relational databases, operational data stores, business intelligence reporting, and big data analytics
  • Understanding of IT operations, ITSM/ITIL, data governance, metadata management, data quality, and data architecture concepts
  • Ability to comprehend conceptual and logical data models, as well as business/transformation rules
  • Experience with Object Oriented Concepts/Development/Modeling
  • Ability to work collaboratively in a complex, rapidly changing, and culturally diverse environment
  • Comfortable working in a dynamic environment where digital is still evolving as a core offering

8. BS in Statistics with 5 years of experience

  • Experience in operating enterprise class or cloud scale applications 24x7
  • Strong articulation skills in partnering with internal teams and external clients
  • Deep understanding of *nix operating systems, networking, load balancers
  • Experience with Nginx, tomcat, docker, Kubernetes
  • Strong scripting skills in bash, groovy, python/ruby
  • Experience in monitoring, metrics collection, and reporting using open-source tools
  • Experience with automation and configuration management using Terraform and puppet
  • Knowledge of best practices & IT Operations on HA, multi-tenant & secure system 
  • Experience with AWS or Azure
  • Experience leading teams to perform against a pre-set Service Level Agreement (SLA) standard using a service management tool such as Service Now, Jira, GitHub, Jenkins or Service Desk Express.
  • Excellent troubleshooting skills with a proven record to logically working through a problem to its successful resolution.

9. BS in Industrial Engineering with 4 years of experience

  • Demonstrate proficiency in data management and automation on Spark, Hadoop, and HDFS environments
  • Experience managing data in relational databases and developing ETL pipelines
  • Experience using Spark SQL and Hive to write queries and scripts
  • Experience developing build and deployment automation
  • Know how to maintain and debug systems in Java runtime environments
  • Experience implementing and administering logging, telemetry and monitoring tools like Splunk
  • Experience managing sources in git (GitHub ops, branching, merging, etc)
  • Experience in cluster management/orchestration software like Mesos, Aurora or Ansible using tools such as Docker
  • Experience working with Cloud-based environment
  • Experience in CI build tools such as Gradle and Jenkins

10. BA in Economics with 5 years of experience

  • Experience managing multiple projects within the same time schedule.
  • Experience with time and project management 
  • Hands-on experience with common technologies including AWS environment, Database – SQL knowledge, Automation, Scripting (Bash, Python and others)
  • Excellent written and verbal communication skills in Hebrew and English.
  • Independent, Innovative, entrepreneurial, team player, ability to multi-task.
  • Experience with Code Writing 
  • Experience working with Big Data open source technologies such as Spark / NoSQL databases.
  • Experience in SRE with prior experience in big data technologies preferred.
  • Database deployment automation tool experience (flyway).
  • Scripting language experience (bash, python).
  • Experience with Git, Jenkins, Octopus or other SCM/CI/CD tools
  • Experience with Hive, Phoenix, Synapse 
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