... improvement. Opportunities, propose system modifications, provide all required inputs for required change Manual and automated adjustments to new systems if required Data quality checks and testing Work closely with account directors, program managers Monitor and support new implementation by analysing Splunk, AppDynamics, and ...
... restore testing. Execute recovery operations and point-in-time recovery, and take part in disaster recovery drills and documented failover exercises. Manage data movement activities including Data Pump exports and imports, non-production refreshes, and database cloning. Mentor junior engineers, review their work and raise ...
... 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 ...
... 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 ...
... or automation activities. - Experience building AI-assisted tools, workflows, or agents that integrate into engineering pipelines. Bonus Skills - Experience testing against cloud data warehouses (Snowflake, BigQuery, Redshift) or CDC source databases (Oracle, SQL Server, PostgreSQL, MySQL) - Familiarity with log-based CDC ...
... 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 ...
... 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, ...
... software architecture and infrastructure for managing data applications. They are involved in developing core capabilities which include technical and functional data platforms. They are the anchor for functional streams of work and are accountable for timely delivery. They work on the latest big data tools, frameworks and ...
... 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, ...
... and data profiling findings to both technical and leadership https://jobeax.com/link/qD1PXku8V3HtzrrZ :- Experience: 5+ years in data engineering, with deep data warehousing exposure at scale.- SQL and BigQuery: Expert-level SQL; hands-on BigQuery optimization (partitioning, clustering, slots, cost).- Data Modelling: Strong ...
... 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 ...
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 ...
... Ecosystem (Step Functions, IAM, CloudWatch, EMR, Glue, S3)- Languages : Python, SQL- Domain Knowledge : Experience working with IoT / Telemetry / Time-series data (Automotive 2W/4W or EV Battery Management Systems is a massive plus)Behavioral Skills : - Strategic Thinker : Ability to translate details into bigger picture ...
... 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 ...
Celebal Technologies is a leading Solution Service company that provide Services the field of Data Science, Big Data, Enterprise Cloud & https://jobeax.com/link/QVLhmNzaEhBG8ZTE are at the forefront of leveraging cutting edge technologies to drive innovation and enhance our business https://jobeax.com/link/or26omectpEQm8Bt ...
... lineage.- Strong capability in infrastructure-as-code and environment standardisation to support scalable and repeatable delivery.- Hands-on experience applying DataOps principles, including Data observability, CI/CD, testing, and operational resilience of data pipelines.- Demonstrated ability to apply cloud cost management ...
... 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, ...
... when 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 forecasting solutions. Perform data cleaning, preprocessing, and feature engineering. Build and optimize data pipelines using Python and SQL. Analyze large datasets to identify trends and business insights. Support model deployment, testing, and performance monitoring. Create dashboards, reports, and data visualizations. ...