... Bachelor's degree/Master's in Computer Science or related field from a top tier college 3+ years of hands-on coding experience in Java 8, Spring Boot, Spring Data JPA, Hibernate, JVM Performance and Optimization Expertise Experience building microservices and RESTful web services Experience working with RDBMS preferably ...
... Code (IaC), and DevOps practices will be an advantage.- Experience with Data Engineering technologies such as Apache Spark, Kafka, Airflow, ETL/ELT pipelines, Data Warehousing, or Big Data technologies will be an added advantage.- Experience with Data Platform architecture and modern data ecosystems will be a plus.- Hands-on ...
... automation initiatives using tools such as Ansible, Jenkins, or Terraform - Script routine operational tasks using Bash or Python - Provide input and support on other database platforms as needed Essential Requirements - Excellent knowledge of MongoDB database administration - Excellent knowledge of MongoDB architecture and internals ...
... qualification. ~ Experience ~ Nature of Experience: ~ Proven experience in strategic planning, financial modeling, risk analysis, financial planning, management, data tracking, and lean management. ~ Length of Experience: ~Minimum 2 years of experience working with or for startups. Demonstrated consistency in performance over ...
... experience in building robust ETL/ELT pipelines and modern data https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities : - Design, develop, and maintain scalable data pipelines using Apache Airflow.- Develop and optimize data transformation models using dbt (Data Build Tool).- Build and manage data solutions on Snowflake.- ...
... Holds analytics teammates to high-quality standards with QA support and feedback to ensure ways of working are adhered to Can create an effective story with data, maintaining objectivity in their analysis Can lead a project development from with little support Supports training of new Analytics team members in SQL / Azure ...
Skillset Requirements Experience : 5 to 10 years in data science Programming : Minimum 5 years in Python Machine Learning/NLP : At least 4 years LLM & GenAI : Minimum 1.5 years with large language models and generative AI Database Management : At least 2 years with any database Cloud Deployment : 1+ years deploying ML models/Python ...
What will you be doing Installing, configuring and upgrading Oracle databases. Oracle Administration including: Experience with RAC, RMAN, Data Guard, Golden Gate, Exadata, Performance Tuning, WebLogic middleware - Forms and Reports, Various storage engines, Oracle customer tools, Performance tuning of Oracle databases, ...
... Practical understanding of legacy Hadoop-based data ecosystems to effectively guide modern cloud analytics migrations. Data Engineering & Platform Design Advanced Data Engineering: Extensive background in building high-performance ETL/ELT pipelines, distributed data lakes, and modern lakehouse architectures. Spark & Databricks ...
... https://jobeax.com/link/iK3oFfMD52XZxB5V, https://jobeax.com/link/ojQsrkgCmOOejeuH, and others. Develop and optimize data models for effective visualization and analysis. Work with SQL and modern data platforms (Snowflake, BigQuery) to extract and prepare data for visualization. Ensure performance and scalability of BI dashboards and analytics solutions. Must-Have ...
... affiliated with, and do not endorse products or services of GitLab. Engineering Manager - Database Change Management An overview of this role As Engineering Manager, Database Change Management, you'll lead a remote backend engineering team in the Database Excellence stage. The team owns database health and the database upgrade ...
... involves developing and supporting enterprise data integration solutions. Design, develop, and maintain ETL workflows using Informatica. - Develop and optimize database solutions using MS SQL Server and PostgreSQL. - Create and maintain data integration processes to support business requirements. - Develop scripts and automate ...
... independently. Analyzes data sources for profiling the data to ensure pipeline build success. Defines success and failure thresholds for data collection pipelines. Data Processing & Pipelining - Data Governance: Implements data governance policies and procedures for data handling (e.g., data retention) to manage data consistency, ...
... of processes leveraging strategic tools of the firm (Tableau, Alteryx etc) Enhancing controls and collaborate with central teams in monitoring and fine tuning data in the data infrastructure Handle adhoc requests relating to field performance trends, strategic initiatives CA/MBA (Finance) with 5+ years of post-qualification ...
... free from error Quality review : Based upon performance, identify team members and conduct quality review meetings Team queries : Address team queries to ensure data entered in the database is in sync with office guidelines/ global data standards Team huddle : Prepare data and conduct team huddle including: - Transfer knowledge ...
... as a Database Developer or Database Administrator in a clinical research or healthcare environment. Strong Experience in Medidata Rave Strong understanding of database design principles, data modeling techniques, and Nrmalization concepts. Excellent problem-solving skills with the ability to analyze complex data sets and ...
... Prepare shop drawings from supplied architectural plans and sketches Communicate with the design team, sales team, architects, designers to gather proper technical data for each project. Provide timely updates for drawing completion and workload Perform component-based material takeoffs from prepared shop drawings Skills and ...
... implementation across Product, Tech, Credit, Operations, Analytics, and Legal/Investigations https://jobeax.com/link/ZlR3JZToBtLJKlA9 Responsibilities : - Tech & Analytics-Driven Fraud Architecture : Partner directly with Engineering, Data Science, and Product teams to design, build, and scale real-time automated fraud rule engines, ...
... Prometheus, etc) - Working knowledge of AI tooling — agents and LLMs in a testing/analysis context - Solid grasp of distributed systems, system architecture, and database context. - Git/GitHub; cloud platforms (AWS/Azure/GCP) Nice-to-Have Load-testing data/analytics platforms, databases Resource allocation management, reviewing ...