The Senior Data Analytics Engineer is responsible for designing, implementing, and maintaining ETL processes, ensuring data quality, and providing insights to support business growth.
Position Overview:
As a Senior ETL Operations and Data Analytics Engineer, you will play a crucial role in our data-driven decision-making process. You will be responsible for designing, implementing, and maintaining ETL processes, ensuring data accuracy, and providing valuable insights to drive business growth.
Key Responsibilities:
- Design, develop, and maintain ETL processes to extract, transform, and load data from various sources.
- Monitor and optimize ETL workflows to ensure data quality and performance.
- Collaborate with cross-functional teams to gather and understand data requirements.
- Optimize and tune ETL processes for performance and scalability.
- Create and maintain documentation for ETL processes and data analytics solutions.
- Create and maintain data models to support reporting and analysis needs.
- Utilize expert knowledge of Go, Python, SQL, git, JSON, YAML, CSV, and MS Excel
- Working knowledge and experience with Ruby, Bash, Argo CD/Workflow, Kubernetes (K8s), containers, GitHub actions, Linux, and AWS to enhance data operations.
- Collaborate with DevOps teams to deploy ETL solutions efficiently in a Kubernetes environment using CI/CD pipelines.
- Support and troubleshoot ETL processes and resolve any issues in a timely manner.
- Perform data analysis, develop dashboards, and present actionable insights to stakeholders.
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Minimum of 10 years of experience in ETL operations, Systems Operations, and Data Analytics.
- Expert knowledge of SQL, git, various data formats (JSON, YAML, csv), and MS Excel.
- Expert Python and Bash skills including OO techniques.
- Proficiency in Ruby, Go, and other languages is a plus.
- Familiarity with Argo CD/Workflow, Kubernetes (K8s), containers, GitHub ac0ons, Linux, and AWS is highly desirable.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
- Strong proficiency in SQL and experience with MySQL or similar relational databases.
- Must be able to interact with databases using raw-SQL.
- Solid understanding of data modeling concepts and techniques.
- Experience with Jaspersob or similar reporting tools is preferred.
Desired:
- Familiarity with ELK (Elasticsearch, Logstash, Kibana) or OpenSearch for advanced log and data analysis
- Familiarity with Jasper Reports and BIRT
- Familiarity with Apache Kafka for real-time data streaming and event-driven architectures
- Experience with relational databases such as PostgreSQL and MySQL for handling structured data
- Knowledge of Druid, an open-source analytics data store, and its integration into data pipelines
- Proficiency in Apache Superset for creating interactive and insightful data visualizations
- 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
Top Skills
Apache Kafka
Apache Superset
Argo Cd
AWS
Bash
Csv
Druid
Elk
Git
Go
JSON
Kubernetes
Linux
Excel
MySQL
Postgres
Python
Ruby
SQL
Yaml
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