Oracle Developer with ETL (OBIA)

Title: Cloud infrastructure Devops Engineer Position: 12 + Months Contract Location ; Austin,TX Rate : $Market Requirements Minimum qualifications: ·         Bachelor’s degree in Computer Science or equivalent practical experience. ·         5-8+ years of experience with the following technologies:  ·         Python, Terraform, Ansible, Concourse CI/CD, Vault, Identify Management ·         Experience with Unix / Linux operating system internals and administration (e.g., filesystems, inodes, system calls, hardening) and networking (e.g., TCP / IP, routing, DNS, network topologies, SDN).   Preferred qualifications:  ·         Expertise in designing, analyzing and troubleshooting large-scale distributed systems.  ·         Ability to debug and optimize code and automate routine tasks.  ·         Systematic problem-solving approach coupled with strong communication skills and a Benefits   If Interested please send your updated resume to : rehana.j@two95intl.comand include your rate/Salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest.

MSH IRONWORKS is a growing company looking for some Field Ironworkers/Welders . We are seeking candidates with at least 3 years experience to join our team of professionals on a Full-Time basis. Applicants should have knowledge and experience in Structural/Miscellaneous Fabrication and Installation.

Build the data foundation that powers patient‑centric decisions Ascendis Pharma is a growth‑stage biopharmaceutical company guided by the core values Patients · Science · Passion. To strengthen our cloud‑native commercial and medical data platform, we are looking for a Data Engineer who combines solid data‑pipeline craftsmanship with a collaborative, product‑oriented mindset. You will join the same agile product team as our analysts, working in rapid product‑discovery cycles to deliver trustworthy data that drives access to life‑changing therapies. Your four focus areas 1. Data Engineering Design, build and maintain scalable ELT pipelines that ingest Patient Support Program, Specialty Pharmacy, Claims, CRM, Marketing, Medical and Financial data. Implement automated data‑quality checks, monitoring and alerting. 2. Data Modelling Develop canonical data models and dimensional marts in our up-coming Databricks Lakehouse to enable self‑service analytics. Apply best‑practice naming, documentation and version control. 3. Collaboration & Facilitation Work side‑by‑side with analysts and product owners to translate business questions into robust technical solutions. Lead whiteboard sessions and spike explorations during product discovery. 4. DevOps & Continuous Improvement Configure CI/CD pipelines for data code, automate testing and promote reusable patterns. Keep an eye on performance, cost and security, driving iterative enhancements. Key responsibilities Engineer reliable, end‑to‑end data flows using Spark SQL and Pyspark notebooks in Databricks (nice to have). Orchestrate and schedule batch & streaming jobs in Azure Data Factory or similar tools. Develop and maintain dbt models (nice to have) to standardise transformations and documentation. Implement data‑cataloguing, lineage and governance practices that meet pharma‑compliance requirements. Drive alignment with analysts to optimise queries, refine schemas and ensure metrics are consistent across dashboards to ensure stakeholders have a single source of truth for decision-making Contribute to agile ceremonies (backlog refinement, sprint reviews, retros) and actively champion a culture of data craftsmanship. Why Ascendis Mission that matters – Our pipelines accelerate insight generation that expands patient access to vital therapies. Modern stack – Azure, Databricks, dbt, GitHub Actions – with room to propose new tools. End‑to‑end ownership – Influence everything from ingestion to visualisation in a small, empowered team. Hybrid flexibility & growth – Work three days onsite, enjoy generous benefits, great snacks and pursue clear technical or leadership paths. Requirements What you bring Experience – 3–7 years in Data Engineering or Analytics Engineering, ideally in pharma, biotech or another regulated, data‑rich environment. Core toolkit – Advanced SQL and Python. Solid experience in dimensional modelling. Nice‑to‑have – Hands‑on with Databricks notebooks/Lakehouse and dbt for transformation & testing. Product mindset – Comfortable iterating fast, demoing early and measuring impact. Communication & teamwork – Able to explain trade‑offs, write clear documentation and collaborate closely with analysts, product managers and business and other stakeholders. Quality focus – Passion for clean, maintainable code, automated testing and robust data governance. Benefits 401(k) plan with company match Medical, dental, and vision plans Company-offered Life and Accidental Death & Dismemberment (AD&D) insurance Company-provided short and long-term disability benefits Unique offerings of Pet Insurance and Legal Insurance Employee Assistance Program Employee Discounts Professional Development Health Saving Account (HSA) Flexible Spending Accounts Various incentive compensation plans Accident, Critical Illness, and Hospital Indemnity Insurance   Mental Health resources Paid leave benefits for new parents A note to recruiters: We do not allow external search party solicitation.  Presentation of candidates without written permission from the Ascendis Pharma Inc Human Resources team (specifically from: Talent Acquisition Partner or Human Resources Director) is not allowed.  If this occurs your ownership of these candidates will not be acknowledged.

Are you passionate about working with your hands and learning a skilled trade? Horizon Millwork, a locally owned and respected custom cabinetry shop, is looking for a dedicated Cabinet Builder Apprentice to join our growing team! What You’ll Do: • Assist in the construction and assembly of custom cabinets and woodwork fixtures • Learn to read and interpret blueprints and shop drawings • Use hand and power tools safely and efficiently • Maintain a clean and organized work environment • Support senior cabinet makers with various tasks as needed What We’re Looking For: • Strong work ethic and eagerness to learn a skilled trade • Basic knowledge of woodworking tools is a plus, but not required • Good attention to detail and willingness to follow instructions • Ability to lift heavy materials and stand for extended periods • Reliable transportation and punctuality What We Offer: • Competitive wages • Health benefits / 401k • Paid time off / holidays • A clean, organized, and supportive work environment • Opportunity to work on unique, high-end custom projects • On-the-job training with experienced craftsmen • Opportunities for growth • Consistent work schedule, Monday–Thursday 6am - 4:30pm Whether you're just starting out or looking to take your first step into the trades, this is a great opportunity to build a career in woodworking.

Position: Data Engineer III  Location: Seattle, WA 98121  Duration: 17 Months        Job Type: Contract          Work Type:  Onsite        Job Description:      The Infrastructure Automation team is responsible for delivering the software that powers our infrastructure.  Responsibilities  As a Data Engineer you will be working in one of the world's largest and most complex data warehouse environments.  You will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data.  Design, build, and maintain scalable, reliable, and reusable data pipelines and infrastructure that support analytics, reporting, and strategic decision-making  You will be responsible for designing and implementing a platform using third-party and in-house reporting tools, modeling metadata, building reports and dashboards  You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.  Explore source systems, data flows, and business processes to uncover opportunities, ensure data accuracy and completeness, and drive improvements in data quality and usability.  Required Skills & Experience  7+ years of related experience.  Experience with data modeling, warehousing and building ETL pipelines  Strong experience with SQL  Experience in at least one modern scripting or programming language, such as Python, Java.  Strong analytical skills, with the ability to translate business requirements into technical data solutions.  Excellent communication skills, with the ability to collaborate across technical and business teams.  A good candidate can partner with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies.   Preferred  Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions  Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)  3+ years of reparation of data for direct use in visualization tools like Tableau experience  KPI: Meet requirements, how they action solutions, etc.:  Leadership Principles:   Deliver Results  Dive Deep  Top 3 must-have hard skills  Strong experience with SQL  Experience in at least one modern scripting or programming language, such as Python, Java.  Experience with data modeling, warehousing and building ETL pipelines 

 We’re actively looking for a dependable 26ft box truck owner-operator with their own truck, authority, and insurance to join our network. ✅ Requirements: - Own 26ft box truck with liftgate! - Active DOT and MC authority - Valid insurance: $1M auto liability / $100K cargo minimum - Clean driving record + valid driver’s license - Experience in freight delivery preferred! 📦 We Offer: - Consistent loads - Competitive weekly pay - Flexible scheduling - Friendly dispatch team - Local & regional routes available 📍 Based in: Sacramento 🛣 Routes: Local 📧 Email: please Respond back to this add with your resume.