Hadoop developer

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 

Salesforce Developer Location: Remote (Austin, Texas, United States) Exp: 8+ Years   Your responsibilities in this role will include:   A Senior Developer who can support BAs by giving solutions. Apex who can do solutioning and config as well. Certinia/Financial Force – mandatory. 5 years’ experience in salesforce and 2.5 years in lightning. Expertise in Salesforce Lightening Framework, Apex, App exchange product development work and other customizations in SFDC. Good understanding of Salesforce Service Cloud/ Community Cloud/Sales Cloud/ Health Cloud Experience in Javascript Programming, HTML and CSS. Good understanding of API integration methodology (Rest and SOAP API knowledge is a must, Mulesoft knowledge is a plus). Ability to communicate clearly with stakeholders and present ideas in user-friendly language. Proven analytical and problem-solving abilities. Capability and knowledge to lead and mentor the team in designing and review of code and guide and encourage the team to follow best practices. In depth understanding of SFDC Profiles/Roles and Sharing Rules, Validation Rules, Tasks, Workflow rules and Triggers, etc. Good understanding of Salesforce deployment tools.  

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Job Description: We are seeking a highly skilled and experienced Senior Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, with a specialization in Matillion, SSIS, Azure DevOps, and ETL processes. This role will involve designing, developing, testing, and deploying ETL jobs, collaborating with cross-functional teams, and ensuring efficient data processing. Key Responsibilities: Design, develop, test, and deploy Matillion ETL jobs in accordance with project requirements. Collaborate with the Data and BI team to understand data integration needs and translate them into Matillion ETL solutions. Create and modify Python code/components in Matillion jobs. Identify opportunities for performance optimization and implement enhancements to ensure efficient data processing. Collaborate with cross-functional teams, including database administrators, data engineers, and business analysts, to ensure seamless integration of ETL processes. Create and maintain comprehensive documentation for Matillion ETL jobs, ensuring knowledge transfer within the team. Create, test, and deploy SQL Server Integration Service (SSIS) packages and schedule them via Active Batch scheduling tool. Create Matillion deployment builds using Azure DevOps CI/CD pipeline and perform release manager activities. Review code of other developers (L2, L3-BI/DI) to ensure code standards and provide approval as part of code review activities. Resolve escalation tickets from the L2 team as part of the on-call schedule. Working knowledge of API and Postman tool is an added advantage. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in data engineering, with a focus on ETL processes. Proficiency in Matillion, SSIS, Azure DevOps, and ETL. Strong knowledge of SQL, Python, and data integration techniques. Experience with performance optimization and data processing enhancements. Excellent collaboration and communication skills. Ability to work in a fast-paced, dynamic environment. Preferred Skills: Experience with cloud platforms such as AWS or Azure. Knowledge of data warehousing and data modeling. Familiarity with DevOps practices and CI/CD pipelines. Strong problem-solving skills and attention to detail.

Full Time Join our professional team of full-time court representatives fighting unfairly issued parking tickets! Our clients are amazing. They include ABC TV, McDonalds, Krispy Kreme, Sysco Foods, Performance Foods, Baldor Foods, and many leading companies in important industries throughout New York City. We train you on the law, and let you become a real expert, and help our clients to succeed, while you succeed, each and every day! Daily duties will include: Review List of Scheduled Cases Each Day Review Each Parking Ticket Case File to ensure accuracy and completeness to improve arguments for court, and to pull any needed documents from our system, and attach to each applicable case file. Work Hours: We typically work 46 hours per week, Monday - Friday 8:30 AM - 5:30 PM in court or in our NYC office, and Saturdays: 8:00 AM - 2 PM (typically remotely from home on Saturdays) Compensation: We pay our team weekly by direct deposit. The annual compensation, excluding bonuses, and paid time off, is $50,000 per year. Training: On Site and Hands On Training On the Law Benefits: * Growth & Career Advancement * Paid Holidays & Paid Sick Days * Paid Vacation * On going training Note: feel free to inquire for more information but, please include your resume, and references for consideration.

At Avalore, we are a mission-driven, veteran-owned small business that helps government agencies harness the power of data and emerging technologies to solve complex problems. Our team combines deep technical expertise with a passion for public service, delivering innovative, responsible solutions in AI, data governance, cybersecurity, and enterprise transformation. Joining Avalore means working alongside experts who have successfully led high-impact initiatives across the DoD and Intelligence Community, and being part of a company that values integrity, agility, and purpose. Your responsibilities will include: Develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements.  Analyze user requirements to derive software design and performance requirements  Design and code new software or modify existing software to add new features  Debug existing software and correct defects  Integrate existing software into new or modified systems or operating environments  Develop simple to complex data queries for existing or proposed databases or data repositories  Provide recommendations for improving documentation and software development process standards  Works individually or as part of a team.  Reviews and tests software components for adherence to the design requirements and documents test results.  Utilizes software development and software design methodologies appropriate to the development environment.  Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components. Requirements Bachelor’s degree in a technical discipline from an accredited college or university is required + Fourteen (14) years’ experience as a SWE in programs and contracts of similar scope, type, and complexity  Four (4) years of relevant SWE experience may be substituted for the degree  Ability to work independently and manage multiple priorities. TS/SCI and Special Security Accesses and Polygraph required. Applicants must be currently authorized to work in the United States on a full-time basis. Avalore will not sponsor applicants for work visas for this position. Desired: Cloud, CNO, DevOps, Data Analytics, Machine Learning & AI  Benefits Eligibility requirements apply. Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Short Term & Long Term Disability Training & Development Employee Assistance Program