... enterprise Data Loss Prevention (DLP) controls, policies, and operational processes. Execute technology roadmaps for DLP platforms to address evolving business needs, data exposure risks, and threat landscapes. Implement and optimize controls across data in motion, data at rest, and data in use environments. Review existing configurations, ...
Front face customer to understand data requirements and analyse data Build solutions and systems to manage data and analytics workload Improve reliability, quality, and time-to-market of our suite of software solutions. Responsibilities: Using SQL/Python to extract data from primary and secondary sources Performing analysis ...
... 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 ...
... skilled and experienced Senior Data Engineer to join our growing data team. In this role, you will lead the design and implementation of scalable, high-performance data pipelines using Snowflake, dbt, and Matillion Data Productivity Cloud, define architectural best practices, and drive data transformation at scale. You will work ...
... 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, ...
... 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 ...
... 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, ...
... 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. ...
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 ...
... 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 ...
... 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 ...
... reliable, and scalable software systems. - 2 to 4 years of experience for MTS-II. Strong in Coding, problem-solving, DS/Algo, with good knowledge of HLD/LLD - Java Backend Engineering with a Focus on Microservices and APIs - BE/Btech/ME/MTech qualification - Experience with large-scale systems - Experience designing and implementing ...
... 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 ...
... 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, ...