3 Optimizing Code Jobs

The candidate will be responsible for implementing computer vision algorithms on target platforms, optimizing the code for the platform's resources, and managing end-to-end workflow efficiently. The ideal candidate should have a minimum of 3 years of relevant experience and possess knowledge of Processing elements such as Multicore CPU with one or more of DSP, GPGPU, FPGA. Experience in video protocols, input/output video (Ethernet streaming video, USB, MIPI CSI), Serial (RS422/232), GPIO, Ethernet, USB, and video processing on target hardware is highly desirable. If you are a fresh graduate or post-graduate engineer with a passion for technology and a keen interest in cutting-edge research work, Inferigence Quotient LLP welcomes you to join our team. If you are eager to learn and contribute effectively, please send your application to hr@inferq.com.,

High Priority Requirement We have a high priority requirement candidates must be able to pass the SQL and Python portions of the Glider test prior to submittal. Please see below: We have a new offshore requirement these are high priority. Our client is looking to interview ASAP since he just had a few associates in India give notice after supporting them for years. Rate : They are looking for mid/senior level experience so let us know if their budget is way off or if this is doable with the multiple openings. Hours : 8am - 4pm EST, 4am -- 1pm EST Looking for candidates who can fulfill these shifts; they have openings for both shifts Interview Rounds : 3 rounds Top Skills Strong SQL Strong Python Nice to Have Snowflake Databricks dbt Position Summary The Senior Data Operations Engineer is a crucial team member, providing essential data support within the modern data stack, alongside coaching and hands-on assistance to engineers, analysts, business users, data scientists, and decision-makers across the company. This role demands deep knowledge of SQL, Python and Optimization , as well as familiarity with tools like Snowflake, Databricks, Azure Cloud, DBT, and git version control. Senior Data Operations Engineers play a key role in managing and enhancing data workflows, combining technical skills with a thorough understanding of data management principles. They contribute to coding new features, assist other principal engineers with architectural plans, and conduct code reviews to ensure that new features and fixes efficiently meet stakeholder needs. Ideal candidates should enjoy teamwork and be adept at publicly sharing their ideas. The Senior Data Operations Engineer reports to the Manager of IT Data Operations Engineering. Essential Responsibilities Collaborate with business partners to comprehend external system configurations and establish connectivity, facilitating downstream data engineering development Oversee the entire data pipeline, from data collection to deployment of data models Monitor data pipeline performance and support bug fixing and performance analysis along the data pipeline; resolve any issues or bottlenecks Extensive experience in optimization and cost savings, with a proven track record of effectively managing and enhancing data workflows to reduce overhead and improve operational efficiency in data operations Perform end-to-end unit testing and code reviews to promote data integrity across a variety of products built by the development team Identify and implement process improvements, such as automating manual processes Provide technical support and training to end-users on data access and usage Be comfortable presenting to large groups in public settings with high visibility Be a strong advocate for a culture of process and data quality across development teams Follow an agile development methodology Other duties as assigned Minimum Experience and Qualifications Bachelors degree in Computer Science or Engineering; OR demonstrated capability to perform job responsibilities with a combination of a High School Diploma/GED and at least four (4) years of previous relevant work experience Five (5) years of relevant experience in a data role working with data warehouses and data analytics tools Familiarity with cloud services (AWS, Azure, or Google Cloud) and understanding of data warehousing solutions like Snowflake Proficiency with SQL skills Experience with modern Extract/Load/Transform (ELT) orchestration tools like Azure Data Factory or Airflow Experience with git and git-based workflows Experience in optimization and enhancement of cloud environments Knowledge of data modeling, data warehousing, and data architecture principles Excellent problem-solving skills and the ability to work in a team environment Strong communication skills and the ability to convey complex data issues in clear terms to non-technical stakeholders Must be legally eligible to work in the country in which the position is located Preferred Experience and Qualifications Experience implementing best-practices for performance tuning and data processes, optimizing resource utilization, and implementing cost-effective solutions to enhance data operations Strong knowledge of Python programming Proven track record of successfully contributing to a project that transitioned a large enterprise to a new cloud data warehouse, like Snowflake Prior airline experience

We are hiring for MNC Located in Bangalore- Whitefield Position: ABAP/HANA Lead and Senior Consultant Required Experience: 7-12 Years Mandatory Skills: SAP ABAP (ECC 5.O),HANA Roles & Responsibilities: Application Development in ABAP in ECC 5.0 and higher systems. Provide technical analysis with full understanding of SAP business documents, master data, transaction data in primary modules SD, MM, FICO and PP modules including cross-functional configuration. Develop applications with clear qualification of different levels of coding options within SAP including but not limited, (Business Add-ins (BADI), Business Application Programmatic Interface (BAPI), User Exits, Dialog programming, Reports, SAP Scripts & SMARTFORMS, Interfaces, Conversion programs). Adherence to SAP layers of abstraction at, (Open SQL vs. Native SQL, Data Dictionary and Operating system commands). Development involving ABAP Objects (Object Model Based). Provide Root Cause analysis using SAP tools, including but not limited to, (ABAP Debugger, Application Logs, Code Optimizer, SQL Trace, Transport and Version Management). Experience with interface and messaging architectures including EDI/IDOC and XI. Familiarity with eCATT, Transaction Recorder, BDC Programming. Strong adherence to Software Development Life Cycle process. Ability to read, understand, author and review, Technical specifications, Unit test documents, Test scripts and Code review. Familiarity with online developer communities and SAP support network. In depth understanding of SAP architecture. Familiarity with industry standard incident management tools (Remedy). Collaboration with multiple teams including partner organizations. Incident Management, resource allocation, reporting. Responsibilities as a Lead: 1. Architecture Experience: Demonstrate expertise in ABAP architecture, ensuring a deep understanding of each Change Request (CHR) and its status at any given point in time. 2. Communication and Solution Provision: Effectively communicate and provide appropriate solutions to business and functional teams, conveying solution feasibility and any limitations in achieving objectives smoothly. 3. Team Management: Assess the capabilities of the ABAP team and distribute work, accordingly, identifying strengths and weaknesses to groom team members appropriately. 4. Knowledge Sharing: Establish a knowledge centre through regular knowledge-sharing sessions, fostering a culture of continuous learning and development within the team. 5. Enforcement of Best Practices: Enforce SAP Best Practices rigorously to ensure consistency and efficiency in development processes. 6. Daily Scrum Calls: Conduct daily scrum calls to coordinate activities, address challenges, and ensure alignment with project objectives. 7. Pipeline Planning: Plan the CHR/work pipeline ahead of time every week to optimize productivity and resource allocation. 8. Stakeholder Communication: Provide soft escalation to stakeholders on dependencies and productivity, maintaining transparent and proactive communication channels. 9. Quality Assurance: Monitor and ensure high-quality deliverables from each member of the ABAP team, maintaining standards of excellence in all project outputs. 10. Team Availability: Monitor and ensure the availability of team members during work hours, optimizing resource utilization and project timelines. 11. Status Reporting: Regularly update the status tracker and prepare governance decks with accurate status updates, presenting them to stakeholders on a weekly basis. 12. SLA Adherence: Strictly adhere to Service Level Agreements (SLAs), ensuring timely and quality delivery of projects as per client requirements. Technology Skills: 1. 10+ years of Experience in Enterprise Applications & ABAP development 2. Experience in SDLC and SAP ABAP development framework. 3. Hands-on experience in at least 2 full cycle implementations on SAP ERP, with understanding of SAP business documents, master data, transaction data and integration links in primary modules SD, MM, FICO and PP modules. 4. Experience with Web Dynpro, Adobe forms and Work Flow. 5. Exposure to global SAP projects is a plus.