... and more chances to do meaningful https://jobeax.com/link/PqyaquKaGIaZQeGj consultants use emerging technologies and best practices to help clients become more data driven across a range of industries. Recent projects include building a customer data platform for a leading Airline, an IoT based real-time driver safety dashboard ...
... experience with data visualization techniques and can communicate the insights as per the audience. You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems. You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.). ...
... technical direction. Extensive experience working in the data science, data engineering, or analytics profession. Hands-on experience working with extremely large data sets and building scalable models. Experience in data visualization using Tableau, Power BI, or R/Python. Expertise in multiple programming languages (e.g., Python, ...
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, ...
... business needs into technical solutions by designing data models and reports Perform exploratory data analysis and implement automated data quality checks Optimize data feeds and ensure timely data availability using Change Data Capture and other approaches Maintain data governance by enforcing best practices in data quality, ...
Required Skills :- Solid hands-on experience in various databases, data mining and data analysis methods, utilizing advanced data tools, writing complex SQL queries.- Data preparation, data analysis, identify insights from raw data.- Analyses metrics, key indicators and other available data sources to discover root causes ...
... 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 platforms.- Optimize data processing jobs, queries, ...
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 : Data Engineering ...
... for batch and real-time data processing. Build and optimize ETL/ELT workflows to collect, transform, and load data from multiple sources. Develop and maintain data models, data warehouses, and data lakes. Ensure data quality, consistency, accuracy, and reliability across data pipelines. Optimize data processing workflows ...
... 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 ...
... methodologies Dashboard design and development in Tableau Problem 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 ...
... data pipelining and automation. Airbyte for ETL purpose Google Cloud Platform (GCP)/AWS, Snowflake, Terraform, Kubernetes, Cloud SQL, Cloud Functions, BigQuery, DataStore, and more: we keep adopting new tools as we grow! Airflow and dbt for data pipelining Tableau and PowerBI for data visualization and consumer facing dashboards. ...
... and more chances to do meaningful https://jobeax.com/link/PqyaquKaGIaZQeGj consultants use emerging technologies and best practices to help clients become more data driven across a range of industries. Recent projects include building a customer data platform for a leading Airline, an IoT based real-time driver safety dashboard ...
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 ...
... related fields. - Expertise in Python or other modern programming language development experience. - Knowledge of advanced level capabilities in SQL and relational databases experience. - Solid working knowledge of ETL (ELT), Data modeling, DataQuality, and Data Visualization/Dashboarding. - Experience with data processing performance ...
... including HDFS, Hive, Spark, and Impala. Experience building and supporting Data Lakes, Data Warehouses, and Enterprise Data Platforms. Strong experience in data modelling, source-to-target mappings, data transformation, and data integration. Knowledge of data quality, data governance, metadata management, and data security ...
... 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 ...
... continuous improvement of operational processes. Skills and Experience: 3-4 years of progressive experience in data engineering, with expert-level mastery of Azure Data Factory, SQL, and cloud data platforms (Azure and/or GCP). - Proven expertise in designing, optimizing, and managing large-scale, production-grade data pipelines, ...
... pipelines to ingest, transform, and validate data from marketplace, inventory, and sales sources Build and maintain SQL data lake storage so historical and change data stays available for analysis Automate recurring data jobs (e.g., via Rundeck) and monitor them for failures and data anomalies Use AI tools to accelerate pipeline ...
... reporting, data analysis, and performance measurement. Experience in developing innovative reporting frameworks and defining key performance metrics. Proficiency in data visualization and reporting tools (e.g., Power BI, Analysis Servers, Excel). Why EY? At EY, you will be part of a diverse and inclusive culture that values innovation ...