... Install, configure, and update database software and tools - Monitor and optimize database performance and capacity - Perform backup and recovery operations- Ensure database security and compliance with policies and standards - Diagnose and resolve database issues and errors - Support database development and testing activities ...
... 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, ...
... 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, ...
Responsibilities : - Development and enhancement of Data Security Products (SASE)- Participate in a complete development life cycle starting with understanding various functional requirements, refine functional specification and develop for high throughput/ low latency requirements.- Influencing the features and direction ...
... 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. ...
... Partner with business stakeholders, product managers, and engineering teams to understand business use cases and constraints.- Design and document end-to-end data, aligned with enterprise standards for :1. Data mesh and domain-oriented data products2. DataOps, MLOps, and emerging AgentOps practices3. AI-aligned data patterns ...
... daysMandatory Skills : - Python- PySpark- SQL- Oracle EBS- Databricks / Azure Data Factory (ADF)Key Responsibilities : - Design and develop scalable data pipelines using Databricks and PySpark.- Develop and optimize complex SQL queries and data processing workflows.- Work with Oracle EBS data structures and support data integration ...
... end-to-end scheduled and event-driven data workflows using AWS Step Functions and AWS Glue Workflows.4. Data Warehousing & Operational Databases : - Enterprise Data Warehousing : Own the architecture, data modeling, and performance tuning in Snowflake to support downstream BI, connected-fleet dashboards, and data science ...
... and translate them into technical data solutions. Ensure data integrity, security, and governance across multiple data sources. Optimize query performance and database architecture for efficiency and scalability. Lead troubleshooting and debugging efforts for data-related issues. Document data workflows, architectures, and ...
... Engineer with strong Azure cloud competencies to join our dynamic https://jobeax.com/link/V9v5V1Tltw2JcjY6 Responsibilities : 1. Architecture and Design for Data Engineering and Machine Learning Projects : - Establishing architecture and target design for data engineering and machine learning projects.2. Requirement Analysis, ...
... data processing solutions using frameworks such as Apache Beam (Data Flow) and Kafka. Work with GCP services like BigQuery, Dataflow, and Spanner to optimize data pipelines and workflows. Design and model data structures for efficient data storage and retrieval. Oversee ETL processes to ensure seamless data extraction, ...
... using data visualization techniques, such as matplotlib, plotly etc.- Capable of self-directed research within broader goals set by group.- Manage multiple projects at any given time along with tracking project milestones.- Lead projects end-to-end, taking ownership of planning, execution and delivery while guiding and ...
... Analyze large datasets to identify trends and business insights. Support model deployment, testing, and performance monitoring. Create dashboards, reports, and data visualizations. Assist in developing automated prediction and retraining workflows. Collaborate with cross-functional teams on analytics projects. Document model ...
... Deployment) for automated deployment and testing of data solutions. Collaborate with cross-functional teams to understand data requirements and deliver high-quality data products. Ensure data quality, reliability, and security within the data ecosystem. Skills Required: AWS certification . Proficiency in AWS Big Data Services ...
... Consulting experience.- 7+ years of experience in Data Engineering, Big Data, Analytics, or related technologies.- 68+ end-to-end Databricks implementation projects.- Proven experience in Solution Architecture with strong client-facing https://jobeax.com/link/IXwRnieoNiHPNkEB Technical Skills :- Databricks: Strong hands-on ...
... EMR, and other AWS services.- Develop PySpark-based data processing applications for large-scale distributed data workloads.- Write optimized SQL queries for data transformation, analysis, and reporting requirements.- Implement data ingestion frameworks to process data from databases, APIs, files, applications, and other ...
... performance of the projects regularly. Primary Responsibilities: Quality Assurance Specialist must demonstrates complete familiarity with all aspects of quality of data entry including performance, professionalism, ethical standards, policies, guidelines and procedures. Quality Assurance Specialist should monitors data entry ...