... Exposure to C++ or low-latency environment concepts. - Familiarity with R for research and visualization. - Prior experience in fintech, electronic trading, or a data-heavy research environment is highly valued. - Exposure to ML - Exposure to AI is a big plus Benefits Why This Role Is Rare - Exposure to real-time trading systems ...
... ETL/ELT pipelines using tools like Informatica, Airflow, and Dataproc. - Data Warehousing: Develop and manage our data warehouse on Google BigQuery, ensuring data is accurate, available, and easily accessible. - Data Processing: Utilize Databricks and Python to process and transform large volumes of data efficiently. - ...
... established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid ...
... pipelines. Data engineer lead will transfer requirements to the offshore team, lead the team to ensure the project delivers high quality products to customers. The Data Engineer Lead also spends time developing data pipelines and/or data integrations stack. Job Duties/Essential Functions ● Leads DE team with one offshore member ...
... processes, including branching, merging, and Pull Requests. - Agile Execution: Proven ability to work within sprint cycles, estimate tasks, and deliver tested code on time. Primary Skills: SQL, Python, ETL, IDMC, AWS, Data warehousing, Databricks, Data modeling, and CI/CD Secondary Skills: Communication Skills Who we are We are ...
... regularly, ensuring compliance with audits and regulations. Incident Response: Lead responses to data breaches, privacy complaints, and access requests. Assist with data breach notification and remediation processes. Training and Awareness: Conduct privacy awareness programs and training for employees from time to time. Internal ...
... root cause analysis to improve data quality. Data Governance Define and implement data governance frameworks, policies, and standards. Ensure compliance with data quality, data privacy, and regulatory requirements. Establish data lineage, metadata management, and data stewardship practices. Monitor and improve data quality ...
... generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. AWS AI Services Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education As a Data Engineer, a typical ...
' : - ( - ) Experience: 5+ yrs Location: Bengaluru, Karnataka Job Type: Full-time We are looking for an experienced and technically strong technology professional to contribute to enterprise technology initiatives, digital transformation programs, and complex infrastructure environments. The role is suited for someone who ...
... 2500000 - Rs 3000000 (ie INR 25 - 30 LPA) Min Experience: 8+ years Location: Hyderabad JobType: full-time We are looking for an experienced and highly skilled Lead Data Scientist with 8–13 years of experience to lead the development and implementation of advanced data science and machine learning solutions. The ideal candidate ...
... OpenTelemetry**: Deep understanding of metrics, traces, logs formats and semantic conventions - **Database Knowledge**: PostgreSQL optimization for telemetry data - **Data Visualization**: Statistical analysis, correlation detection, anomaly identification through visual patterns - **Programming**: Python/Go for data pipeline ...
... bring We are looking for an experienced Data Governance Lead who can improve business processes through the practical use of data and AI, and deliver trusted data for enterprise solutions. You will bring: - At least 10 years of experience in data governance, data management or a related field. - Deep knowledge of data governance ...
... projects in environments with evolving requirements and timelines. Required Qualifications, Experience & Skills: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field. Experience: - 3+ years of professional experience in data science or applied machine ...
... years of experience • Minimum 3 years of experience in design, build and deployment of Ab Initio-based applications • Expertise in handling complex large-scale Data Lake and Warehouse environments • Hands-on experience writing complex SQL queries, exporting and importing large amounts of data using utilities • Excellent verbal ...
... members of IT, including business analysts, database administrators, and managers, to design and develop Cognos reporting capability- Exhibit a commitment to data quality by validating results against sources specified in the requirements- Develop and maintain stored procedures- Write and support queries against databases ...
... solution delivery through Agile and DevOps practices. Data Pipeline and Platform Architecture - Design end-to-end data pipeline architectures for batch, near real time, and event-driven use cases. - Define logical and physical architecture patterns using cloud-native platforms and modern data technologies. - Guide the development ...
Job Summary We are seeking an experienced Demand Forecasting Data Scientist with strong expertise in time series forecasting, machine learning, and supply chain analytics . The ideal candidate will have hands-on experience working with Databricks and Python , a deep understanding of demand planning use cases, and the ability ...
... operational friction. - Establishes repeatable dashboards and metrics to measure data protection coverage, control effectiveness, false-positive rates, and remediation timelines. - Embeds privacy-by-design principles into product and engineering workflows by providing structured guidance on secure data flows, storage patterns, logging, ...
... https://jobeax.com/link/OBSYxKmspgkYWOcn Responsibilities:- Design, develop, and maintain data pipelines.- Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality data solutions.- Optimize data workflows for performance and scalability within the Azure environment.- Ensure data quality, ...
... features and data contracts. Build and ship models to: Enhance customer experiences and personalization Boost revenue via pricing/discount optimization Detect and block fraud/risk in real time Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS. Build monitoring for model/data drift and business KPIs