Manager - Data Engineer Salary at Loqate Inc BETA

Experience :- 12- 14 Years Skill Set :- Python Snowflake Have Hands on coding and development experience on Python Strong proficiency in SQL for querying and manipulating data within Snowflake. DWH Data integration ETL pipeline Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Needs: SCALA- Not Python SPARK GCP preferred LLM AI Retail background Job Description : Will be doing Data Engineering work for a Marketing Technology Platform. The resource will be pulling data from structured and unstructured data sources. Then ETL the data using Scala, SPark, and JAva. Everything is done in a GCP environment with usage of Hive tables. This member will also be looking at Next GEN AI strategies to be used by the platform. They are looking to integrate LLM models as well. This is both Engineering and Scientist work, but Engineering is more important!

Were looking for a Data Engineer to build the data pipelines that power modern applications and insights platforms. Data engineers at Andersen Consulting interact with client technical teams, internal engagement leaders, and internal product manager Data Engineer, SQL, Associate, Engineer, Senior, Technology, Accounting, Data

Job title:- Data Engineer Location: Mountain View, CA Remote Duration:- 6 to 12 Months Pay rate: $105/hr Description: As a Data Engineer, you will collaborate with team in building data pipelines, orchestrate and manage Snowflake Datawarehouse. You will play a key role in ensuring that existing pipelines are meeting SLAs and integrate CI/CD practices in our operation. Responsibilities: •Experience in Snowflake environment and setting up Role based access control roles and Users, setup warehouses and monitors. •Experience developing GitHub CI/CD pipelines and deployment into dev and production nodes. Familiar with setting up CI/CD pipelines with Kubernetes, and Docker. •Write and maintain scripts necessary for data ingestion with orchestration in Airflow •Develop testing frameworks to validate data accuracy and data consistency at each layer. Required skills: •Proficiency in programming languages such as Python. •Strong analytical and problem-solving skills •Familiarity with data modeli

Job Description: Pay Range: $65hr - $70hr Responsibilities: Design and develop big data applications using the latest open source technologies. Desired working in offshore model and Managed outcome. Develop logical and physical data models for big data platforms. utomate workflows using Apache Airflow. Create data pipelines using Apache Hive, Apache Spark, Apache Kafka. Provide ongoing maintenance and enhancements to existing systems and participate in rotational on-call support. Learn our business domain and technology infrastructure quickly and share candidate knowledge freely and actively with others in the team. Mentor junior engineers on the team. Lead daily standups and design reviews. Groom and prioritize backlog using JIRA. ct as the point of contact for candidate assigned business domain. Requirements: GCP Experience. 4+ years of recent GCP experience. Experience building data pipelines in GCP. GCP Dataproc, GCS & BIG Query experience. 10+ years of hands-on experience with dev

Role: Data Engineer Sunnyvale, CA (Day one on site) - Fulltime Position Salary: $130K including Variables We need 1 strong on-site Spark + Scala ( coding language) candidate preferably in Sunnyvale. Requirements: Spark Scala Big data databases - like HBase etc PySpark Python Datawarehouse AWS - good to have Good communication skill Role and Qualification Minimum of 10+ year of experience designing and implementing a full-scale data warehouse solution. A minimum of Five years' experience in developing using Spark, Scala. A highly effective communicator, both orally and in writing Problem-solving and architecting skills in cases of unclear requirements. Thanks & Regards, Patel Direct: 614-588-8528 / 614-495-9222 Ext: 346 | Fax: 866-764-1148 E-mail: patelb@usgrpinc.com

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. The Senior Data Engineer in the Data Science and Engineering team will play a key role in fostering a data-driven culture within the organization. This will be achieved by designing, implementing, and maintaining robust data pipelines and architectures that enable efficient and reliable collection, processing, and storage of data from diverse sources. The Senior Dat

Hi, Our client is looking for Data Engineer in Sunnyvale, CA below is the detailed requirements. Job Title : Data Engineer Location : Sunnyvale, CA Duration : Fulltime Note: Coding exp needed Job Description: Bachelor's or master's degree in computer science, Information Technology, or a related field. Design, develop, and maintain scalable data pipelines and ETL processes using Snowflake and Python. Build and optimize data architectures to support business intelligence, analytics, and machine learning initiatives. Collaborate with data analysts, data scientists, and stakeholders to understand data requirements and ensure smooth dataflows. Manage and administer Snowflake data warehouses, including schema design, performance tuning, and data security. Write efficient, reusable, and maintainable code for data processing and transformation tasks using Python. Implement data quality checks and validation processes to maintain data integrity. Automate data workflows and improve data reliabi