... Engineering, or a related field. 7+ years of data engineering experience, including expertise in data integration, pipeline optimization, and enterprise-scale data solutions. - Databases: Oracle and PostgreSQL - ETL/ELT & Data Integration: Experience in maintaining and refactoring existing data pipelines - Data Warehousing ...
... data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader.- Ensure data privacy and compliance with relevant regulations (e.g., GDPR) when handling customer data.- Maintain data quality and consistency within the application, addressing ...
... insights. - Manage data connections and publish governed data sources through Tableau Server/Cloud . - Configure appropriate security, user access, permissions, and data-source settings. - Ensure data accuracy, integrity, consistency, and governance across BI assets. - Troubleshoot dashboard, data, performance, and connectivity ...
... prediction and forecasting tasks on tabular/text datasets. - Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. - Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) to support model development. - Build and deploy end-to-end ...
... role Ethos is seeking a Data Engineer to join our Data Platform team and build the internal infrastructure, services, and tooling that the rest of the company's data stack runs on. This is a software engineering role with a deep data background. You will design and operate distributed workflow systems on Temporal and Airflow, ...
... & Data Platform. You’ll design and maintain reliable, secure, and scalable data pipelines and models that power a new generation of reporting, insights, and data-driven products across the StarRez ecosystem. This role sits at the intersection of data, product, and engineering. You will work closely with Data Analysts, ...
Role Overview:Seeking a highly skilled Senior Data Engineer with deep expertise in Databricks, Real-Time Data Processing, Lakehouse Architecture, and AI-driven solutions. The role involves designing, developing, and supporting scalable data platforms and streaming pipelines, leveraging modern Databricks capabilities such ...
• To sell Life insurance products through the assigned Bank branches by building long term relationship with the bank. • Building Relationship and Motivate branch staff to help generate leads. • Providing complete policy details and after sales services to clients. Desired...
Full time
Definian helps organizations define what’s next by unlocking the full value of their data. With expertise spanning data strategy, modernization, advanced analytics, and AI & automation, Definian equips leaders to navigate their digital evolution with clarity and precision. Definian Data LLC and its subsidiary PIE Data Specialists ...
... Responsibilities include maintaining digital and paper records, updating calendars, tracking job progress and costing, and assisting with basic invoicing and data entry. The role also involves preparing simple estimates or documents as directed, organizing files and photos related to projects, and ensuring information is ...
... 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 ...
... assurance and validation techniques. Ability to troubleshoot and resolve data integration issues efficiently. Knowledge of scripting and automation to streamline data workflows. The candidate should have minimum 3 years of experience in AWS AI Services. This position is based at our Bengaluru office. A 15 years full time education ...
... Experience with system integration, implementation, upgrades, migrations, or technology modernization. - Good understanding of application, infrastructure, cloud, database, networking, or platform technologies relevant to the role. - Familiarity with automation, monitoring, DevOps, CI/CD, cloud platforms, or modern engineering ...
... model accuracy, scalability, and reliability. - Work with large and complex datasets to identify meaningful patterns, trends, and insights. - Collaborate with data engineering teams to establish effective data pipelines and ensure high-quality data availability for modeling. - Partner with product and business stakeholders ...
... 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 ...
... modeling) and modern AI systems (LLMs, Generative AI and agentic frameworks). The role requires strong applied modeling skills across structured and unstructured data, and experience deploying models into production environments. This position involves end-to-end ownership of data science initiatives, from problem framing and ...
... 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 ...
... worldwide. Role Summary: The Data Architect is responsible for the design and evolution of our enterprise data architecture, with a strong focus on reusable data pipelines, data schemas & products, and modern data engineering practices. This role requires an AI-first mindset in data engineering and data modeling activities ...