Job Summary:We are looking for an energetic Data Engineer our team. In this role, you’ll work cross-functionally with business operations and to create and optimize workflow processes. Responsibilities: If you are a Data Passionist, this is the place for you. Together, we enable widescale adoption of data strategy, data products, and data capabilities throughout the organization and provide thought leadership, direction for the various application teams who are at different stages in their data modernization journey. Provide research, data solutions/architecture, consumption archetypes, best data practices and support to business lines data use cases. Qualifications: <ul><li>3+ years of professional data-related experience in the financial services industry</li><li>2+ years of Java/Python/UNIX development experience</li><li>knowledge of SQL and experience working with large data volumes</li><li>Experience in Data Integration/Data catalog/Data Controls/Data Analytics, related tools, and frameworks</li><li>Thorough understanding of or the ability to quickly learn about the project or product being developed.</li><li>Experience in writing documentation and procedure for various audiences</li><li>Ability to handle multiple projects simultaneously.</li><li>Solid organizational skills including attention to detail and multi-tasking skills.</li><li>Serving as a point of contact for teams when multiple squads are assigned manuals to the same project/deliverable to ensure team actions remain in synergy.</li><li>Communicating with business lines, build squads, management to keep the project aligned with their goals.</li><li>Provide project updates on a consistent basis to various stakeholders about strategy, adjustments, and progress.</li><li>Excellent time management skills with a proven ability to meet deadlines.</li><li>Excellent verbal and written communication skills.</li><li>Excellent interpersonal and customer service skills.</li><li>Strong understanding of agile development methodologies</li></ul> System Soft Technologies is a proud equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, sexual orientation, or any other characteristic protected by law. We are committed to the full inclusion of all qualified individuals. If you are an individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting us at talent.acquisition@sstech.us.

System Soft Technologies is helping their client hire a Data Engineer for their Fort Worth, TX office. This is a direct hire role with a strong preference for individuals to work fully onsite, but hybrid schedules will be considered. **NOTE: The client does not offer visa sponsorship. If you need work visa sponsorship now or in the future, we are unable to consider you this position.** The Data Engineer collaborates closely with the Director of Data Engineering to establish and uphold optimal standards for data modeling, data warehousing, and data ingestion practices. Core duties include:<ul><li>Crafting and implementing dimensional data models and features for data warehousing to support business users and processes.</li><li>Developing automated workflows and overseeing Continuous Integration/Continuous Deployment (CICD) processes for data engineering pipelines.</li><li>Creating tools to streamline the development, deployment, and monitoring of data products.</li><li>Working alongside data engineers, software engineers, business analysts, and data scientists to build data pipelines, products, and automation solutions.</li><li>Championing best practices in data operations, encompassing source-to-target processes, warehousing, and Business Intelligence (BI).</li><li>Fostering a collaborative and transparent developer environment.</li><li>Spearheading initiatives to enhance methodologies or bridge capability gaps, with a focus on increasing efficiency.</li><li>Providing mentorship and guidance to junior team members to foster continuous improvement efforts.</li></ul> Required Qualifications<ul><li>Bachelor’s Degree in computer science or a quantitative field. Master's degree preferred.</li><li>Five (5) years of Data Engineering experience.</li><li>Demonstrated experience with data and software engineering best practices and implementing data and software development lifecycles.</li><li>Demonstrated experience with designing and implementing data models (conceptual, logical, physical).</li><li>Demonstrated experience with implementing data ingestion/testing automation solutions.</li><li>Must have programming languages: SQL, Python.</li></ul> Preferred Experience<ul><li>Java, Scala.</li><li>Experience developing RESTful APIs.</li><li>Experience with Docker/Kubernetes.</li><li>Experience delivering and scaling data products in production.</li></ul> Technical Skills/Abilities<ul><li>In-depth experience with cloud technologies such as Snowflake, dbt, AWS, Airflow.</li><li>Experience with modern data tools such as Spark, Kubernetes, Docker.</li><li>Experience with micro-service architecture and web-services.</li><li>Working knowledge of data engineering pipelines, common data deployment pitfalls, and inherent complexities when managing data at scale.</li><li>Experience using a data visualization tool like Looker, Tableau or PowerBI.</li></ul>

Summary:Works closely with Director of DE guiding best practices for data modeling, data warehousing and data ingestion. <ul><li>Designs and implements dimensional data models and data warehousing features for business users and business processes.</li><li>Develops automated workflows, manages CICD for data engineering pipelines</li><li>Develops tooling to facilitate data product development, deployment, and monitoring. </li><li>Collaborates with data engineers, software engineers, business analysts, and data scientists to develop data pipelines/products and automation solutions</li><li>Creates and promotes best practices in data operations, including source to target, warehousing, and BI </li><li>Helps contribute to a collaborative, open developer environment</li><li>Leads improvements in methodology or initiatives to address capability gaps or increase efficiency</li><li>Offers advice and guidance to junior associates for sake of continuous improvement</li></ul>Education:<ul><li>Bachelors degree in computer science or a quantitative field.</li><li>Masters degree preferred.</li></ul>Required experience:<ul><li>Five (5) years of Data Engineering experience</li><li>Demonstrated experience with data and software engineering best practices and implementing data and software development lifecycles.</li><li>Demonstrated experience with designing and implementing data models (conceptual, logical, physical) </li><li>Demonstrated experience with implementing data ingestion/testing automation solutions.</li><li>Must have programming languages: SQL, Python</li><li>Nice to Have: Java, Scala.</li><li>Experience developing RESTful APIs</li><li>Experience with Docker/Kubernetes</li><li>Experience delivering and scaling data products in production</li></ul>Technical skills / abilities: <ul><li>In-depth experience with cloud technologies such as Snowflake, dbt, AWS, Airflow</li><li>Experience with modern data tools such as Spark, Kubernetes, Docker</li><li>Experience with micro-service architecture and web-services.</li><li>Working knowledge of data engineering pipelines, common data deployment pitfalls, and inherent complexities when managing data at scale</li><li>Experience using a data visualization tool like Looker, Tableau or PowerBI.</li></ul>Personal skill/s:<ul><li>Strong teamwork and collaboration skills.</li></ul>by Jobble

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Data Engineer System soft technologies Jobs

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