... analytical problem-solving, and attention to https://jobeax.com/link/ZPFFoZ6sJ5F9xveY Qualifications:Education:- https://jobeax.com/link/2DENLGgQM7whDhaE / B.E. in Computer Science, Data Science, or a related field, preferably from a premier institution (NIT or IIT).Cloud Infrastructure:- Familiarity with major cloud environments ...
... learning and statistical modeling to improve decision-making and automate business processes. Data, Tools & Technical Leadership - Prepare and analyze large datasets using cloud platforms such as AWS and Snowflake. - Use SQL, Python, Jupyter Notebooks, Looker, and related tools to analyze data and generate insights. - ...
... manage Amazon DynamoDB data models to ensure high performance, scalability, and reliability.- Ensure data quality, integrity, security, and consistency across data pipelines and storage solutions.- Collaborate with application developers, cloud engineers, data architects, and business stakeholders to deliver robust data ...
... evaluate AI solutions using real-world enterprise datasets. What you'll bring Required Qualifications - 7+ years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments. - Master's or PhD in Computer Science, Applied Mathematics, ...
... compliance. Database & Data Platform Support - Support Oracle databases and enterprise SQL environments. - Perform performance analysis, query optimization, database monitoring, and troubleshooting. - Coordinate with application and data engineering teams during releases and migrations. Middleware & File Transfer Services ...
... cases, rather than one-off pipelines. The role also operates within an evolving ecosystem where contract-driven data approaches are increasingly used to define datasets, structure, quality expectations, and access patterns. While direct experience with data contracts is not required, exposure to structured data governance, ...
... Azure Data Factory (ADF) solutions, leveraging knowledge of Databricks . Design, develop, and maintain data pipelines. Work on data ingestion frameworks and data transformation frameworks . Utilize expertise in the Azure platform, Big Data, and Cloud technologies . Implement and manage data solutions using Snowflake . ...
Data Engineer – Databricks Experience: 7+ Years Work Mode: Remote Shift Timing: 12:30 PM to 9:30 PM IST ~ Databricks, Pyspark, Python, SQL, Microsoft Fabric, Azure Data Factory, DataOps practices, and performance optimization We are looking for experienced Data Engineers with strong hands-on expertise in Databricks, PySpark, ...
... teams on migrations, upgrades and platform initiatives, including Oracle workloads running on Azure, AWS or Oracle Cloud Infrastructure. Bachelor's degree in computer science, information technology or engineering, or equivalent practical experience. Four to seven years of hands-on Oracle database administration experience, ...
... databases, and cloud platforms. Leverage Microsoft 365 encryption capabilities and other enterprise tools. QUALIFICATIONS, EXPERIENCE, SKILLS BE/B Tech/MCA in IT, Computer Science or Electronics and Communication or similar qualification Experience: - 4 – 6 years of experience in Data Protection, DLP, Security Operations, or Information ...
... and problem-solving abilities - Excellent skills on PL/SQL and good exposure to data transformation language like python - knowledge of AWS, Java Basic, API, databases - 5 or more years of Data Analyst experience - Bachelors degree or higher in business analysis, computer science - Ability to work with customers, product ...
... develop, and maintain scalable data pipelines using Python and Apache Spark.- Implement efficient ETL/ELT processes for large-scale structured and unstructured datasets.- Develop and optimize complex SQL queries, data models, and transformations.- Ensure data quality, integrity, and reliability across the https://jobeax.com/link/KGEJVg5sFMkW48k2 ...
... practices - sprints, scrum ceremonies, story https://jobeax.com/link/X7YsZmo9GJDjHCHf & Certifications : - Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.- Certifications (plus) : Snowflake SnowPro Advanced, dbt Certified Developer, Matillion Associate or Professional (Data Productivity ...
... evidence collection, and continuous-monitoring cadence (partnering with the InfoSec Engineer on the technical controls). Data protection & DPO Act as the company's Data Protection Officer across GDPR (UK/EU) and India's DPDP Act, including registration obligations. Own RoPA, DPIAs, data-subject-request handling, breach response ...
... organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across ...
... computer science, information systems, or related field - Minimum 4 years of experience as a database administrator or a similar role - Proficient in SQL and database management systems (DBMS) Oracle, and SQL Server- Familiar with database design, development, and administration tools and techniques- Knowledge of database ...
... troubleshooting with IT/security teams. Required Skills and Experience Foundational experience in data engineering, data pipelines, ETL/ELT, data transformation, or cloud data platforms. Working knowledge of SQL and Python exposure to Spark, notebooks, or distributed data processing is preferred. Basic understanding of data modeling, ...
... implementing the chosen data model using the appropriate technology stack. - You will collaborate with the team on the areas of data governance, data security and data privacy. - You will incorporate data quality into your day-to-day work. Job qualifications Technical Skills - You will have 5+ years of experience in Data engineering. ...
... analysis.- Develop data engineering solutions using Python.- Optimize ETL processes for performance, scalability, and reliability.- Monitor and troubleshoot data pipelines and resolve data quality issues.- Implement best practices for data modeling, database design, and data governance.- Collaborate with data scientists, ...