... complex data challenges, delivering scalable and innovative solutions. Bachelor's degree in Computer Science, Data 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 ...
... and ingest datasets into cloud based tools.- Identify, design, and implement internal process improvements including automating manual processes, optimising data delivery and re-designing infrastructure for greater scalability.- Collaborate with stakeholders to ensure seamless integration of data with internal data marts, ...
... 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 ...
Experience Level: 2-5 years Location: Bengaluru Education: Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. A strong academic pedigree is highly preferred. Overview: We are seeking a talented and motivated Data Scientist to join our team. The ideal candidate will ...
... redefining how life insurance is bought, sold, and underwritten. About the 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 ...
... and reliability through testing, monitoring, and observability practices - Work with Data Analysts and Product teams to translate requirements into reusable datasets and pipelines - Collaborate with Engineering to support data integration, schema automation, and platform scalability - Integrate data from internal and external ...
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 ...
... technical prototyping, and evaluating experimental criteria. - Applies specialized knowledge within the Commercial data domain. What Should you have: - BS Computer Science or related field with 3 – 5 years of working experience with Data Engineering. - Core Languages: Proficient in SQL and Python for data manipulation, ETL pipeline ...
... clauses and other relevant data protection documents. Program Management: Oversee the companys global privacy program, ensuring adherence to privacy laws and internal policies. Lead the execution of the India Digital Data Privacy Bill. Compliance Monitoring: Establish frameworks for ongoing monitoring of privacy compliance ...
... 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 ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data 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) ...
... 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 ...
... reviews, and promote best practices across the data science team. - Stay updated with advancements in machine learning, deep learning, generative AI, and emerging data science methodologies. Must-Have Skills - 8–13 years of professional experience in Data Science, Machine Learning, or a closely related field. - Strong hands-on ...
... 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 ...
... senior stakeholders. - Experience governing enterprise-scale data products and applying modern data practices such as FAIR data, DCAM, ALCOA+ or pharmaceutical data standards. - Strong leadership, communication and influencing skills in a matrix organisation. - A master’s degree in data science, computer science, information ...
... manage 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 ...
Bachelor's degree in a quantitative field (such as Engineering, Computer Science, Statistics, Econometrics) and a minimum of 3 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 ...
... 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 ...
... 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 ...
... Time Series Forecasting techniques and real-world demand planning use cases. - Hands-on experience with Databricks , including Spark, notebooks, and distributed data processing. - Practical exposure to Machine Learning and Deep Learning model development and deployment. - Experience working with large, complex datasets in ...