Data Analytics Engineer/Remote/Python/Go/ETL//Kafka/AWS

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 -

• 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

Due to the cooperation of this role with the US State Department, United States citizenship is required . No security clearances are required.

LI-LT2