Data Engineer

SYMVOS®; Coral Springs (FL); Remote; USD 90,000 - 130,000; Full time

Job summary

A leading tech consulting firm in Coral Springs seeks a Data Engineer to design and maintain scalable data pipelines. This remote position entails managing databases, integrating data using ETL processes, and collaborating with cross-functional teams. Successful candidates will have advanced programming skills and relevant experience in technologies like AWS and SQL.

Qualifications

• 5+ years of experience as a Data Engineer or similar role.
• Strong programming skills in Python, Java, Scala.
• Experience with ETL processes and data warehousing.

Responsibilities

• Design and maintain scalable data pipelines.
• Implement ETL processes for data integration.
• Optimize databases for performance and scalability.

Skills

Python

Java

Scala

SQL

Hadoop

Spark

Kafka

Docker

Kubernetes

Education

Bachelor's degree in Computer Science

Master's degree

Tools

PostgreSQL

MySQL

AWS

Azure

GCP

Job description

Synergy in Solutions and Success. SYMVOS, transforming digital businesses for a better tomorrow.

Job Description

This is a remote position.

Job Role: Data Engineer

Synergy in Solutions and Success. SYMVOS, transforming businesses for a better tomorrow.

About us information: As a leading provider of business transformation services, SYMVOS is dedicated to driving innovation now to create a better tomorrow. Using cutting-edge digital technologies, we offer business solutions that assist our clients in solving problems and creating possibilities.

Overview: As a Data Engineer, you will play a crucial role in designing, building, and maintaining scalable data pipelines and infrastructure for our organization. You will work closely with data scientists, analysts, and other stakeholders to ensure optimal data flow and integration for analytics, machine learning, and business intelligence purposes. This role requires a deep understanding of data architecture, ETL processes, data modeling, and proficiency in programming and scripting languages.

Key Responsibilities:

Design, implement, and maintain scalable and efficient data pipelines to ingest, transform, and store large volumes of data from various sources (e.g., databases, APIs, logs).

Optimize data pipelines for performance, reliability, and scalability.

Data Integration and ETL Processes:

Develop and implement ETL processes to cleanse, transform, and integrate data into data warehouses or data lakes.

Ensure data quality and consistency across different data sources.

Data Modeling:

Design and implement data models and schemas to support analytics and reporting requirements.

Collaborate with data analysts and scientists to understand data requirements and translate them into technical solutions.

Database Management:

Manage and optimize databases (SQL and NoSQL) for performance and scalability.

Implement database schema changes, indexes, and optimizations as needed.

Data Infrastructure:

Design and deploy infrastructure for data storage and processing, considering factors such as availability, reliability, and cost-effectiveness (e.g., cloud services like AWS, Azure, GCP).

Collaboration and Communication:

Work closely with cross-functional teams (e.g., data scientists, analysts, software engineers) to support their data infrastructure needs.

Communicate technical concepts and solutions effectively to non-technical stakeholders.

Monitoring and Maintenance:

Monitor data pipelines and infrastructure to ensure data availability, integrity, and performance.

Perform troubleshooting and resolve issues related to data processing and storage.

Skills and Qualifications:

5+ years of proven experience as a Data Engineer or in a similar role.

Strong programming skills in languages such as Python, Java, Scala, or similar for data manipulation and scripting.

Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).

Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka).

Familiarity with cloud platforms and services (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).

Understanding of data warehousing concepts and architectures.

Knowledge of data modeling, ETL tools, and data integration techniques.

Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred).

Relevant certifications (e.g., AWS Certified Big Data - Specialty) are a plus.

EEO Employer:

SYMVOS Corporation is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. SYMVOS Corporation will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require accommodation in using our website for a search or application, please contact [e-mail] .

SYMVOS Corporation is a tech consulting firm that partners with Software Development, Artificial Intelligence, Data Analytics, and Cybersecurity clients. When you join SYMVOS, you become part of a team that values Excellence Through Quality.

SYMVOS CORP is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.