Overview
Remote
On Site
170k - 200k
Full Time
Skills
Training and development
Data Analysis
Decision-making
Extract
transform
load
Data quality
Computer science
Information Technology
System administration
Object-Oriented Programming
Relational databases
Data modeling
Apache Kafka
Real-time
Open source
Health care
Life insurance
Python
Kubernetes
Amazon Web Services
Data
FOCUS
Operations
Pivotal
Workflow
Collaboration
Scalability
Management
Reporting
DevOps
Continuous integration
Continuous delivery
Dashboard
SQL
Git
JSON
YAML
Computerized system validation
Microsoft Excel
Bash
Ruby
GitHub
Linux
MySQL
Database
Elasticsearch
Kibana
BIRT
Streaming
PostgreSQL
Analytics
Apache HTTP Server
Job Details
Job Description:
Our client is an innovative tech firm specializing in advanced data analytics solutions. Established with a vision to empower businesses through data-driven insights, they offer a comprehensive suite of services tailored to meet the evolving needs of modern enterprises. With a focus on excellence and cutting-edge technology, our client strives to deliver scalable ETL operations and robust data analytics solutions to drive informed decision-making and foster sustainable growth. Committed to staying ahead in the dynamic landscape of data analytics, they are dedicated to providing top-tier expertise and exceptional service, enabling them to unlock the full potential of their data assets.
They are currently looking to hire a Senior ETL Operations and Data Analytics Engineer, someone that will serve as a driving force in the data-driven decision-making process. Your role will be pivotal in designing, implementing, and maintaining ETL processes, ensuring data accuracy, and providing valuable insights to propel business growth.
Responsibilities:
- Develop, implement, monitor, and refine ETL workflows to guarantee data quality and optimize performance.
- Collaborate with cross-functional teams to grasp and address data requirements effectively.
- Fine-tune ETL processes for enhanced performance and scalability.
- Construct and manage data models to cater to reporting and analysis necessities.
- Work closely with DevOps teams to deploy ETL solutions efficiently within Kubernetes environments through CI/CD pipelines.
- Provide diligent support for troubleshooting ETL processes and resolving issues promptly.
- Conduct data analysis, develop dashboards, and deliver actionable insights to stakeholders.
Requirements:
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Minimum of 8 years of hands-on experience in ETL operations, Systems Operations, and Data Analytics.
- Advanced proficiency in SQL, git, various data formats (JSON, YAML, CSV), and MS Excel.
- Expertise in Python and Bash, including Object-Oriented techniques.
- Familiarity with Go, Ruby, and other languages is advantageous.
- Familiarity with Argo CD/Workflow, Kubernetes (K8s), containers, GitHub actions, Linux, and AWS.
- Proficient in SQL with experience in MySQL or similar relational databases.
- Ability to interact with databases using raw-SQL.
- Solid grasp of data modeling principles and methodologies.
Desired Skills:
- Familiarity with ELK (Elasticsearch, Logstash, Kibana) or OpenSearch for advanced log and data analysis.
- Knowledge of Jasper Reports and BIRT.
- Exposure to Apache Kafka for real-time data streaming and event-driven architectures.
- Experience with relational databases such as PostgreSQL and MySQL for managing structured data.
- Familiarity with Druid, an open-source analytics data store, and its integration into data pipelines.
- Proficiency in Apache Superset for crafting interactive and insightful data visualizations.
The Offer: You will receive the following benefits -
#LI-LT2
Our client is an innovative tech firm specializing in advanced data analytics solutions. Established with a vision to empower businesses through data-driven insights, they offer a comprehensive suite of services tailored to meet the evolving needs of modern enterprises. With a focus on excellence and cutting-edge technology, our client strives to deliver scalable ETL operations and robust data analytics solutions to drive informed decision-making and foster sustainable growth. Committed to staying ahead in the dynamic landscape of data analytics, they are dedicated to providing top-tier expertise and exceptional service, enabling them to unlock the full potential of their data assets.
They are currently looking to hire a Senior ETL Operations and Data Analytics Engineer, someone that will serve as a driving force in the data-driven decision-making process. Your role will be pivotal in designing, implementing, and maintaining ETL processes, ensuring data accuracy, and providing valuable insights to propel business growth.
Responsibilities:
- Develop, implement, monitor, and refine ETL workflows to guarantee data quality and optimize performance.
- Collaborate with cross-functional teams to grasp and address data requirements effectively.
- Fine-tune ETL processes for enhanced performance and scalability.
- Construct and manage data models to cater to reporting and analysis necessities.
- Work closely with DevOps teams to deploy ETL solutions efficiently within Kubernetes environments through CI/CD pipelines.
- Provide diligent support for troubleshooting ETL processes and resolving issues promptly.
- Conduct data analysis, develop dashboards, and deliver actionable insights to stakeholders.
Requirements:
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Minimum of 8 years of hands-on experience in ETL operations, Systems Operations, and Data Analytics.
- Advanced proficiency in SQL, git, various data formats (JSON, YAML, CSV), and MS Excel.
- Expertise in Python and Bash, including Object-Oriented techniques.
- Familiarity with Go, Ruby, and other languages is advantageous.
- Familiarity with Argo CD/Workflow, Kubernetes (K8s), containers, GitHub actions, Linux, and AWS.
- Proficient in SQL with experience in MySQL or similar relational databases.
- Ability to interact with databases using raw-SQL.
- Solid grasp of data modeling principles and methodologies.
Desired Skills:
- Familiarity with ELK (Elasticsearch, Logstash, Kibana) or OpenSearch for advanced log and data analysis.
- Knowledge of Jasper Reports and BIRT.
- Exposure to Apache Kafka for real-time data streaming and event-driven architectures.
- Experience with relational databases such as PostgreSQL and MySQL for managing structured data.
- Familiarity with Druid, an open-source analytics data store, and its integration into data pipelines.
- Proficiency in Apache Superset for crafting interactive and insightful data visualizations.
The Offer: You will receive the following benefits -
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Short Term & Long Term Disability
- Training & Development
- Work From Home
#LI-LT2