... Cybersecurity, Fintech, or enterprise SaaS platforms.- Familiarity with streaming technologies (Kafka, Event Hub) for real-time analytics.- Exposure to data lakes and big data tools (Spark, Hadoop).- Knowledge of Python or Shell scripting for database https://jobeax.com/link/ZLthU28PhggOey9e We Offer:- Opportunity to lead the data infrastructure ...
... join a team that saves tens of millions of dollars per year for Amazon, and uses technology, including machine learning and statistical modeling techniques, data mining and big data analytics, cloud computing services, and highly available/scalable distributed systems that support hundreds of millions of transactions across ...
... Overview :We are looking for a proactive Data Support Engineer to join our data engineering team. The role involves supporting, monitoring, and troubleshooting data pipelines and ETL processes, ensuring data reliability and smooth operations across Snowflake-based data https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities ...
Welcome to Gallagher in India — where expertise, technology, and purpose come together. Since 2006, Gallagher in India has supported global teams by delivering quality, service, and speed through deep expertise, smart technology, and specialized knowledge services.
... work Bachelor's degree or higher in Computer Science, Data Engineering, or a related field (or equivalent professional experience) - 3+ years of experience in data engineering, analytics engineering, or a similar data-focused role - Strong SQL skills, including schema design for data warehouse or data lake use cases - Proficiency ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Apache Spark, ...
We are looking for a Data Engineer to join our team and play a key role in building, optimizing, and managing data pipelines. You will work closely with Data Analysts and Business Functions to ensure seamless data processing, reporting, and dashboarding. Our tech stack includes BigQuery, Snowflake, Airflow, Stitch/Fivetran, ...
... process defects.- Experience in articulating and translating business questions using statistical techniques.- Good working exposure of the SQL, PL/SQL, OLTP/OLAP Databases, data analytics tools and techniques.- Should have strong experience in SQL complex Query building.- Should have good understanding of stored procedures, ...
... maintain scalable data pipelines using Python, SQL, and Spark/PySpark.- Build and manage data workflows using Azure Data Factory, Azure Databricks, and Synapse Analytics.- Design and implement ETL/ELT processes for data ingestion and transformation.- Integrate data from multiple sources and ensure reliable data movement across ...
... Certified Professional or similar certifications. Machine Learning: Knowledge of machine learning concepts and experience with popular ML libraries. Knowledge of big data processing (e.g., Spark, Hadoop, Hive, Kafka) Data Orchestration: Apache Airflow. Knowledge of CI/CD pipelines and DevOps practices in a cloud environment. ...
... customers in various industry verticals. We are looking for a skilled and motivated Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. You will work closely with Data Science, Engineering, and Product teams to ensure high-quality, reliable, and accessible data for analytics, machine ...
... debugging, and code quality best practices. Good understanding of data engineering fundamentals and advanced concepts. Experience building scalable and fault-tolerant data pipelines. Strong knowledge of CI/CD, automated testing, and production deployments. Understanding of Medallion Architecture, data modeling, data quality, and ...
... Solving Understanding the Problem Data Cleaning and Preparation Data Interpretation Data Visualization Basics of DS / ML Good working knowledge of Advanced Analytics, Basics understanding of DS / ML Exposure to cloud computing Software Engineering / Data Engineering Fundamentals Basic software design principals Unit testing ...
... containers as well as GCP suite, terraform kubernetes, cloud functions You understand standard ETL patterns, modern data warehousing ideas such as data mesh or data vaulting, and data quality practices regarding test driven design and data observability. You are passionate about all things data: Big data, small data, moving ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Python (Programming ...
... legal entity. You will be part of a world-class Data Engineering team, where you will: inform Data Science and Analytics Platform teams partner closely with data consumers and producers to ensure quality and usefulness of data assets You will be involved in strategizing measurement, collecting data, and generating insights. ...
... Catalog and modern data architecture patterns. Exposure to enterprise data platforms. Experience supporting AI, Analytics, or Data Science consumption layers. Data Pipeline Management - Design, build, and maintain scalable ETL/ELT pipelines for Corporate Banking and Credit Risk data. Data Integration - Integrate data from ...
... Overview :We are looking for a proactive Data Support Engineer to join our data engineering team. The role involves supporting, monitoring, and troubleshooting data pipelines and ETL processes, ensuring data reliability and smooth operations across Snowflake-based data https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities ...
... Champion best-in-class documentation, data lineage, and automated CI/CD deployment practices, ensuring transparency, auditability, and governance across all data assets. Demonstrate expert-level support for analytics and media teams, translating business challenges into scalable, high-performance technical solutions, leveraging ...