Post job

Explore jobs

Find specific jobs

Explore careers

Explore professions

Best companies

Explore companies

OverviewJobsSalary

Skills

What They DoEducationDemographicsJob DescriptionHow To HireBest CompaniesBest StatesBest CitiesRemote JobsJob OutlookComparePart Time jobsFull Time jobsWork From Home jobs
zippia ai icon

Automatically apply for jobs with Zippia

Upload your resume to get started.

Lead data technician skills for your resume and career

Updated January 8, 2025
5 min read
Below we've compiled a list of the most critical lead data technician skills. We ranked the top skills for lead data technicians based on the percentage of resumes they appeared on. For example, 9.6% of lead data technician resumes contained python as a skill. Continue reading to find out what skills a lead data technician needs to be successful in the workplace.

15 lead data technician skills for your resume and career

1. Python

Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.

Here's how lead data technicians use python:
  • Executed data scripts developed in Python.
  • Created back testing platform for testing long short strategy indices developed using Python.

2. Architecture

Here's how lead data technicians use architecture:
  • Performed business process analysis and functional specification, software design, systems architecture, and project management.
  • Designed a new architecture for managing Equities transactions including derivatives and prime brokerage data.

3. Java

Java is a widely-known programming language that was invented in 1995 and is owned by Oracle. It is a server-side language that was created to let app developers "write once, run anywhere". It is easy and simple to learn and use and is powerful, fast, and secure. This object-oriented programming language lets the code be reused that automatically lowers the development cost. Java is specially used for android apps, web and application servers, games, database connections, etc. This programming language is closely related to C++ making it easier for the users to switch between the two.

Here's how lead data technicians use java:
  • Provided expert analysis of the appropriateness and correctness of statistical analysis routines used in an automated HR application written in Java.
  • Configured and optimized the Cassandra cluster and developed real-time java based application to work along with the Cassandra database.

4. Spark

Spark fully known as Apache Spark is an open-source operating system that is used for processing large-scale data. It's best deployed when the data size is large as the system operates on in-memory caching and advanced query execution for queries that are fast against any data size that it finds.

Here's how lead data technicians use spark:
  • Created Spark UDF for data transformations and removing nulls and special characters as a part of data quality in Spark Jobs.
  • Developed scalable data pipelines to process data from multiple source in real time using Kafka, NiFi and Spark streaming.

5. Data Lake

Here's how lead data technicians use data lake:
  • Designed and developed a critical ingestion pipeline to process over 100TB of data into a Data Lake.
  • Created PigLatin Scripts to extract the required data from the large data lake.

6. Hadoop

Hadoop is an open-source software and procedures framework that is free for anyone to use on the internet. Hadoop aids in big data operations. It allows massive data storage, applications to be run on commodity hardware, and can easily manage to run various tasks occurring at the same time.

Here's how lead data technicians use hadoop:
  • Created and maintained Technical documentation for launching HADOOP Clusters and for executing Hive queries and Pig Script.
  • Involved in preparing RFP, vendor evaluation and proof of concept of Hadoop distributions.

Choose from 10+ customizable lead data technician resume templates

Build a professional lead data technician resume in minutes. Our AI resume writing assistant will guide you through every step of the process, and you can choose from 10+ resume templates to create your lead data technician resume.

7. Visualization

Here's how lead data technicians use visualization:
  • Generated reports based on the data to present relevant metrics to executives using Tableau for visualization and better understanding.
  • Programmed BI visualization reports giving insights on patient performance thereby aiding the decision making for clinical drug investigators.

8. Infrastructure

Infrastructure includes the organizational and physical structures needed to run an area or a society smoothly. It is a group of basic facilities required for any society or firm to run sustainably and efficiently. The infrastructural system is a high investing area and helps majorly in flourishing the economy and prosperity of a country. It is an underlying system needed for ensuring the safety and comfort of the public and to run a country smoothly. All the tasks needed to be performed for a flourishing economy and a happy and healthy public are included in infrastructure.

Here's how lead data technicians use infrastructure:
  • Lead and managed crews of 4 - 8 men on large scale installations include CCTV, Audio-Visual, and Data Infrastructure.
  • Managed existing Symantec Encryption Management Server (formerly Universal Server) Infrastructure and technology.

9. Tableau

Here's how lead data technicians use tableau:
  • Generated Tableau Dashboard with quick/context/global filters/action filters/ drill downs, parameters and calculated fields on Tableau.
  • Developed various data stories using Tableau for Market vector index analysts to relate different data points.

10. Data Analysis

Here's how lead data technicians use data analysis:
  • Performed data analysis and ensured integrity of the data loaded by the international data management teams.
  • Performed data analysis resulting in identification of 3% additional capacity available for sale.

11. ETL

Here's how lead data technicians use etl:
  • Defined and documented development standards and guidelines for ETL developers.
  • Designed BI solutions in BI tools using Business Objects, Oracle and ETL with shell scripting.

12. Amazon Web Services

Here's how lead data technicians use amazon web services:
  • Utilized Amazon Web Services (AWS) such as S3 to save the executed results along with Cassandra.
  • Monitored and configured a test cluster on amazon web services for further testing process and gradual migration.

13. BI

Here's how lead data technicians use bi:
  • Delivered the initial phase of Enterprise BI solution built around Oracle, Hyperion and Business Objects.
  • Lead SQL Server DBA and BI Architect.

14. Azure

Here's how lead data technicians use azure:
  • Worked with the windows PowerShell and Azure scheduler to automate the data ingestion and transformation jobs on daily and monthly schedules.
  • Prepare and Present the Metrics for the Team utilization and Environment status in PowerBI, Power Point and SQL Azure.

15. Data Quality

Here's how lead data technicians use data quality:
  • Analyzed legacy system data quality and performed data cleanups with error logs.
  • Provided metrics on data quality and conversion activities to Site Lead.
top-skills

What skills help Lead Data Technicians find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

List of lead data technician skills to add to your resume

The most important skills for a lead data technician resume and required skills for a lead data technician to have include:

  • Python
  • Architecture
  • Java
  • Spark
  • Data Lake
  • Hadoop
  • Visualization
  • Infrastructure
  • Tableau
  • Data Analysis
  • ETL
  • Amazon Web Services
  • BI
  • Azure
  • Data Quality
  • Data Governance
  • Linux
  • HBase
  • Apache Spark
  • Data Warehouse
  • SQL Server
  • API
  • Jenkins
  • Oracle Sql
  • Data Warehousing
  • Informatica
  • XML
  • QA
  • Customer Satisfaction
  • Data Transformation
  • Oozie
  • Debugging
  • Solr
  • HDFS
  • Unix
  • Process Data
  • Profiling
  • JSON
  • POC
  • MapReduce
  • Fiber Optic
  • Oracle 11G
  • DB2
  • TB
  • UI
  • Extraction

Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

Browse life, physical, and social science jobs