Skills:

• Language: Proficiency in Java or Python or Scala. Prior experience in Oil & Gas, Titles & Leases,  or Financial Services is a must have.
• Databases: Expertise in relational and NoSQL databases like PostgreSQL, MongoDB, Redis, and Elasticsearch.
• Data Pipelines: Strong experience in designing and implementing ETL/ELT pipelines for large datasets.
• Tools: Hands-on experience with Databricks, Spark, and cloud platforms.
• Data Lakehouse: Expertise in data modeling, designing Data Lakehouses, and building data pipelines.
• Modern Data Stack: Familiarity with modern data stack and data governance practices.
• Data Orchestration: Proficient in data orchestration and workflow tools.
• Data Modeling: Proficient in modeling and building data architectures for high-throughput environments.
• Stream Processing: Extensive experience with stream processing technologies such as Apache Kafka.
• Distributed Systems: Strong understanding of distributed systems, scalability, and availability.
• DevOps: Familiarity with DevOps practices, continuous integration, and continuous deployment (CI/CD).
• Problem-Solving: Strong problem-solving skills with a focus on scalable data infrastructure.

Key Responsibilities:

• This is a player-coach role, with high expectations of hands on design and development. 
• Design and development of systems for ingestion, persistence, consumption, ETL/ELT, versioning for different data types e.g. relational, document, geospatial, graph, timeseries etc. in transactional and analytical patterns.
• Drive the development of applications related to data extraction, especially from formats like TIFF, PDF, and others, including OCR and data classification/categorization.
• Analyze and improve the efficiency, scalability, and reliability of our data infrastructure.
• Assist in the design and implementation of robust ETL/ELT pipelines for processing large volumes of data.
• Collaborate with cross-functional scrum teams to respond quickly and effectively to business needs.
• Work closely with data scientists and analysts to define data requirements and develop comprehensive data solutions.
• Implement data quality checks and monitoring to ensure data integrity and reliability across all systems.
• Develop and maintain data models, schemas, and documentation to support data-driven decision-making.
• Manage and scale data infrastructure on cloud platforms, leveraging cloud-native tools and services.

Why join Stronghold’s Dallas Team?

At Stronghold, you're not just another employee; you are a part of our global family. We believe in nurturing talent, fostering innovation, and celebrating successes together. With our state-of-the-art technology and a team of industry experts, we offer a platform for growth, development, and unparalleled learning.

Benefits:

• Salary: Competitive and aligned with local standards.
• Performance Bonus: According to company policy.
• Benefits: Includes medical insurance and group term life insurance.
• Continuous learning and development.10 recognized public holidays.
• Parental Leave

Stronghold Investment Management is an equal opportunity employer. We believe in creating a diverse and inclusive workforce, where individuals of all backgrounds, experiences, and perspectives can thrive. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by applicable laws. We encourage applicants from underrepresented groups to apply and embrace the unique contributions they can bring to our organization.