Database Engineer (Remote)

Company Description

Industrial IOT Software Consultants specializes in transforming industrial processes through cutting-edge IoT solutions. With a focus on empowering industries with intelligent connectivity, we drive efficiency, productivity, and innovation. Our team offers tailored software solutions that seamlessly integrate with existing systems, ensuring minimal disruption and maximum impact. We leverage advanced technologies like machine learning, artificial intelligence, and big data analytics to deliver tangible results for our clients.

Role Description

This is a full-time remote role for a Database Engineer at Industrial IOT Software Consultants. The Database Engineer will be responsible for database administration, development, design, data modeling, and ETL processes. Day-to-day tasks include managing and optimizing databases, designing schemas, creating data models, and implementing ETL pipelines.

Responsibilities and Impact:

Lead the design and implementation of database solutions using Postgres and other relational databases.

Ensure database performance, security, and reliability; coordinate with application teams to define database design.

Collaborate with cross-functional teams to support data-driven initiatives.

Mentor junior team members and promote best practices.

Oversee database maintenance and troubleshooting.

Drive innovation by evaluating and integrating new technologies.

Produce system design documents and participate in technical walkthroughs.

Perform application and system performance tuning and troubleshoot performance issues.

Effectively interact with global customers, business users, and IT staff.

What We’re Looking For:Basic Required Qualifications:

Bachelor’s degree in Computer Science, Information Systems, or Engineering, or equivalent work experience.

10+ years of IT experience in application support or development.

Strong experience in database environments – SQL, PL/SQL programming.

Experience with SPARK and NoSQL-related database technologies.

Experience in working with multi-threaded, high-performance, low-latency messaging systems.

Experience in AWS cloud-based technologies.

Experience using system tools, source control systems, utilities, and third-party products.

Experience with financial applications such as Index/Benchmarks, Asset Management, Portfolio Investment modeling, or trading systems.

Excellent communication skills, with strong verbal and writing proficiencies.

Additional Preferred Qualifications:

Proficiency in building data analytics solutions on AWS Cloud.

Thorough understanding of replication strategies and implementation of HA protocols for 99.99% uptime.

Experience with implementation of data governance and data lineage.

Proficiency in implementing data models in SQL and NoSQL databases.

• Experience with microservice and serverless architecture implementation.