... languages like Python, and SQL Solid understanding of data pipeline, data platform, data lake, data warehousing and analytics Research, design, and implement data modeling to solve complex problems Understand business requirements and translate into data pipelines and build data model transformations for reporting and analytics ...
... Shield key processes and know-how on Statistical and ML Guarantee highest ML utilization Education: Mathematics/Physics/Engineering with a master's in business/data analytics or proven track record on Data Science Proven track record of minimum 5 years as a data scientist Coding capabilities in R and/or Phyton Relationship/ ...
SOURCING & DIRECT OUTREACH Proactively identify and engage passive candidates through Boolean searches on LinkedIn, job boards, and other talent platforms.
... Modelling, Ontology, Semantic Data Modeling - Preferred understanding of Data Analytics on Cloud landscape and Data Lake knowledge. - Cloud Data Engineering, Cloud Data Integration - Must be familiar with Data Architecture Principles. Professional Experience: - Strong requirement analysis and technical solutioning skill in Data ...
... Trainee Program → Software Engineer / Product Role Conversion is performance-based and is not guaranteed. Candidates will be evaluated on learning ability, technical/product capability, ownership, problem-solving, communication, collaboration and potential. Internship Note This is a structured three-month internship and ...
... cybersecurity posture automation. Using Balbix, organizations can discover, prioritize and mitigate unseen risks and vulnerabilities at high velocity. With seamless data collection and petabyte-scale analysis capabilities, Balbix is deployed and operational within hours, and helps to decrease breach risk immediately. Balbix counts ...
... stakeholders. Youll be the single-threaded owner for program plans, risks, dependencies, timelines, and customer communicationwhile partnering with FDEs for technical implementation and solutioning. A strong working knowledge of SIP is mandatory (SIP is the signalling protocol commonly used to initiate/modify/terminate VoIP ...
... efficiency, cost modeling, capacity planning, and quality enhancements. Develop a deep understanding of systems and processes to extract insights from existing data while identifying and recommending IT enhancements to improve data quality. Develop strong partnerships with IT application owners and data management teams to ...
... data use cases and the definition of the software architecture of his use cases. carry out production monitoring (when needed) process business line requests (data pipelines creation/evolution/issues/...) provide quality user support to the business lines. followtechnicalroadmap required by IT Group andmaintain/develop IT ...
... partnering with some of the brightest minds in the industry. This position also lends itself to mentoring and shaping junior engineers in the team through technical guidance on design, quality and coding through continuous reviews, discussions and feedbacks. Success in the Role: What are the performance outcomes over the ...
... optimize ETLELT data pipelines using Azure Data Factory ADF to ensure efficient data flow and processingbr Collaborate with crossfunctional teams to understand data requirements and translate them into technical specificationsbr Maintain and enhance existing data platforms ensuring they are scalable reliable and securebr ...
osition Name Req ID Experience Working Mode Location Duration Budget ServiceNow Technical Lead 713005 6+ years of experience & Tech Lead (8 to 10 Yrs) WFO Pune,Bangalore,Hyderabad 6 months Less than 2016 USD / month Lead technical design, configuration, and customization of ServiceNow modules. Mentor and guide the ServiceNow ...
... Ensure an effective and engaging learning experience for all participants. Required Skills & Qualifications - 3–4 years of relevant professional experience in Data Analytics, Business Intelligence, Data Science, or Technical Training . - Prior experience conducting training sessions on the required tools and technologies. ...
... fast-paced consulting environment. - Proven analytic experiences and problem-solving skills (Master’s degree with a major in a related field of quantitative science e.g., engineering, computer/data science, statistics, mathematics, etc.) - Senior Analyst: Master’s degree plus 1-2 years of relevant work experience or PhD’s ...
... end. Qualifications: - B.E/MTech in computer science - 3 - 5 years of relevant work experience. - Experience in building scalable products with preferably big data. - Excellent Python coding skills (Mandatory) - Experience in Apache spark, Data Lake and other Big data technologies. - Experience in either Data Warehouses ...
... - Solid understanding of data pipeline fundamentals, including ingestion, transformation, and loading (ETL/ELT) processes. - Must have experience with batch data processing (scheduling, dependencies, failure recovery, performance tuning). - Knowledge of data warehousing concepts and familiarity with relational databases. ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... computer science, information systems, or related field - Minimum 4 years of experience as a database administrator or a similar role - Proficient in SQL and database management systems (DBMS) Oracle, and SQL Server- Familiar with database design, development, and administration tools and techniques- Knowledge of database ...
... prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Data and Applied Science The context engine that makes AI enterprise ready. Anyone can build an AI agent. What makes SAP's agents different is accuracy grounded in ...
Qualifications for Data Engineer: - 3+ Years of experience in building and optimizing big data solutions required to fulfill business and technology requirements. - 3+ years of technical expertise in areas of design and implementation using big data technology Hadoop, Hive, Spark, Python/Java. - Strong analytic skills to ...