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Job Title: Jr. Big Data Engineer (Urgent hiring) We are a premier IT consulting firm specializing in delivering top-tier Big Data solutions to companies across various sectors such as finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus Prior domain experience of Life Insurance, Annuity or Financial Services is a plus AWS Certifications are considered a strong plus Excellent verbal and written communication skills.
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Would be preferred to have executed end to end implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to GCP (using Google BigQuery, DataFlow, DataProc etc.
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Specific experience in writing Big Data engineering for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage.
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The ideal candidate will also have a foundational understanding of big data platforms like Databricks, platform automation using Python and APIs, server-side experience with Linux OS, and a solid grasp of AWS fundamentals.
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YOUR SKILLS AND EXPERTISEBachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.STANDOUT QUALIFICATIONS:Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query)Experience partnering with Analytics and Data Science teams in building out production grade GenAI/ML solutions.
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Experience with big data tools and architectures, such as Cloudera Hadoop, HDFS, Hive, and Spark. THE ROLE:As a key member in the Advanced Data Analytics team, the Data Analyst will work with this and a cross-functional team to develop and execute the data analytics strategy and apply to Oshkosh Corporation products.
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Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc.
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Role description: This role is a unique chance to workwithin Arcadis Intelligences Solution Architecting, Systems & Data group, providing services including Data Migration and Integration, Data Warehousing, Master Data Management, Big Data and Analytics, Software, API and Service development capabilities within our multi-discipline solutions delivery teams.
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Responsible for database setup, configuration and management cloud data pipeline integration, big data governance, data security, and for connecting users with self-service access, and responsible to use Database clustering tools and techniques to analyze performance and help others to optimize data queries.
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Principal Data Scientist 550186 Closing at: Sep 18 2024 at 23:55 BST SSE has big ambitions to be a leading energy company in a low carbon world. Working Pattern: Permanent | Full Time | options availableThis role will lead the AI Centre of Excellence focussing delivering value from AI across SSE.The AI COE sits within the wider data & analytics team, which includes our analytic development teams, data architects, cloud DevOps engineers, lead management, data management and portfolio management.
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Experience in Cloud and Big Data platforms such as AWS, Databricks, Snowflake, Hive, Pig, Apache Spark, etc. Proficiency in data querying using SQL (Snowflake, Databricks) and Python (packages and libraries like Scikit, Keras, Pandas, PySpark/PySQL.
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Familiarity with big data technologies and platforms (Dask, BigQuery, Kafka, Spark Structured Streaming). Big Data Technologies, experience in managing and analyzing large-scale datasets.
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Advanced technical certifications: AWS Certified Cloud Practitioner, Solutions Architect, Certified Developer, or SysOps Administrator certifications; RHEL RHCSA/RHCE; AWS Certified Data Analytics, DASCA Big Data Engineering and Analytics preferred.
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Responsible for utilizing big data technologies (e.g., Apache Hive, Apache, Pig, Apache Spark, MapReduce, Hadoop, and MongoDB) and knowledge of data science models to analyze large amounts of data and create valuable insights for supporting the mission.
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big data jobs Company: Dow in WY, France
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