The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users. Responsibilities Understand the day-to-day issues that our business faces, which can be better ...
... or more product deployments of big data technologies – Business Data Lake, NoSQL databases etc - Awareness and decision-making ability to choose among various big data, NoSQL, analytics tools and technologies - Should have experience in architecting and implementing domain centric big data solutions - At MakeMyTrip, we're ...
... and proven ability to use computer and office software applications. - Experience with analytics environment and Informatica technology solutions (Cloud, MDM, Big Data, DQ, DI, Data Security). - Ability to explore, examine, and understand complex enterprise problems at speed and navigate complex organizational structures. ...
... transformation, and loading of data from a wide variety of data sources using Pyspark, SQL and AWS big data-technologies - Build analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics - Manipulate data at scale: ...
... Engineering, Data Science or a related field. 10+ years of hands-on experience in data engineering, with at least 5 years in a people management role leading data platform or data infrastructure teams. Deep expertise in data warehousing, data modeling (dimensional and Data Vault), ETL/ELT design and big data technologies. ...
... advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency ...
... https://jobeax.com/link/jjoGIvRsRnBsvZHu was founded as a platform for talented technologists who want to make a real impact for their clients. Some of the world's biggest businesses turn to us to help bring their data strategy, AI, cloud engineering and digital solutions to life. We're the home base for talented technologists ...
... https://jobeax.com/link/jjoGIvRsRnBsvZHu was founded as a platform for talented technologists who want to make a real impact for their clients. Some of the world's biggest businesses turn to us to help bring their data strategy, AI, cloud engineering and digital solutions to life. We're the home base for talented technologists ...
... etc. Bachelor's or Master's degree in Computer Science/Information Systems. At least 4+ years of experience in building data flow and data management on a modern big data tech stack. Strong experience in using ETL frameworks (e. g., Airflow, Jenkins) to build and deploy production-quality ETL pipelines. Knowledge of data structures. ...
... and internal partners to develop, test and operationalize data science and analytical solutions as well as ensure its adoption by businesses. Work toleveragedata (Transactional / Big Data, External/ Internal Data, Structured/ Unstructured Data) and analytics methodsto develop analytics solutions 6 - 8 years of experience, ...
... https://jobeax.com/link/fYGlpInxuIv5PeS1 & Skills :- 4 - 7 years in data engineering: SQL, Python, ETL/ELT orchestration.- Cloud data platform experience (Azure preferred): pipelines, storage, APIs.- Strong understanding of data lake and data architecture.- Data modelling for analytics (star schema) and data quality frameworks. (ref:hirist.tech)
... Preferred Areas of Specialization Candidates with expertise in one or more of the following areas are encouraged to apply: Artificial Intelligence & Machine Learning Data Science & Big Data Analytics Cyber Security / Information Security Cloud Computing & Distributed Systems Internet of Things (IoT) Computer Networks Database Management ...
... Behavior, Supply Chain, etc. - Exceptional SQL skills. - Experience with modern visualization tools like Tableau, Power BI, Domo, etc. - Knowledge of open-source, big data, and cloud infrastructure such as AWS, Hive, Snowflake, Presto, etc. - Experience with agile development methodologies. - Experience in retail or e-commerce ...
... Deployment) for automated deployment and testing of data solutions. Collaborate with cross-functional teams to understand data requirements and deliver high-quality data products. Ensure data quality, reliability, and security within the data ecosystem. Skills Required: AWS certification . Proficiency in AWS Big Data Services ...
... Computer Science, Data Engineering, or related field. - 5+ years of experience in data engineering, with 2+ years in a leadership role. - Expertise in SQL, Python, data modeling, and pipeline orchestration (Airflow, Mage AI, etc.). - Experience with big data technologies such as Apache Iceberg or Delta Lake. - Deep understanding ...
... Responsibilities Develop data solutions within Big Data and cloud environments Work with diverse datasets for Data Science and Analytics teams Build and design data architectures using Azure Data Factory, Databricks, Data Lake and Synapse Perform data mapping and transformation activities Develop data integration and transformation ...
... operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent ...
... frameworks for building scalable data pipelines. Understanding of Big Data architectures, data storage, and data processing concepts. Familiarity with cloud-native data storage solutions such as S3, Blob Storage, BigQuery, or Redshift. Experience with data orchestration tools like Apache Airflow or similar. Knowledge of data ...
... in driving value for our customers by building data solutions. You'll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. ...
... open-source big data technologies such as Spark, Flink, and Hive. - Experience with one of the major public cloud platforms, preferably GCP. - Working knowledge in any data transformation libraries like DBT (Data Build Tool), PySpark, or Snowpark. - Experience with data visualization tools (e.g., Tableau, Looker). - Passion for data ...