... organized Data Entry Executive to join our team. The ideal candidate should have excellent typing skills, a high level of accuracy, and the ability to manage data efficiently while maintaining confidentiality. Key Responsibilities Enter, update, and maintain data in spreadsheets, CRM systems, and company databases. Verify ...
... 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 . ...
... Case Management, Knowledge Base, Service Console, and Omni-Channel. Experience with configuring and customizing Service Cloud to meet business requirements. Data Model management: Using Schema Builder to visualize and manage the data model. Creating and modifying objects, fields, and relationships. Creating and customizing ...
... 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, ...
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, ...
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 ...
... Document data workflows, architectures, and best practices to ensure maintainability and knowledge sharing. Preferred candidate profile - 5+ years of experience in Data Engineering, Software Engineering, or a related field. - Bachelors or masters degree in computer science, Computer Engineering, or a related discipline - High ...
... 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, ...
... migrations to Databricks from Hadoop ecosystems, Data Warehouses (Teradata, DataStage, Netezza, Ab Initio), ETL engines (Informatica), SAS, SQL, DW, Cloud-based Data platforms like Redshift, Snowflake, EMR, etc.5. Design, Build and Optimize Data Pipelines : - The Databricks implementation will be best in class, with flexibility ...
... https://jobeax.com/link/0a2QmNkVhUZFALjk Candidate will have :- Experience with Agentic AI, Generative AI, LLMs, and prompt engineering.- Experience with big data technology stack (Hadoop, Spark, HDFS, EMR, Glue).- Experience with AWS, Azure or GCP.- Experience with Databricks/SageMaker/DataRobot, MLFlow or other ML and ...
... with Git , version control, and ML deployment concepts. - Strong analytical, problem-solving, and communication skills. - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field. Preferred Skills Azure Machine Learning. Power BI or Tableau. Time Series Forecasting. ...
... and/or SQL . Expertise in Data Modeling and Warehousing . Experience with DevOps practices - CI/CD . Strong analytical and problem-solving skills. Ability to work independently and as part of a team. QUALIFICATION: ~ Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
... 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 ...