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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus. Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
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Driving Results: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python and/or Node.js, SQL (using dbt for transformation), commercial SaaS and OSS offerings, and AWS ‘big data’ technologies.
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Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers.
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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
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Hands on experience with ETL/ELT tools like ADF, Informatica , Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift , Snowflake , Google Big Query etc.
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Team Management Manage & Coordinate team of Data Steward, Business Intelligence, Data Engineering, Data Governance & Data Science. The role oversees the Data Platform team with Data Steward, Business Intelligence, Data Engineering, Data Governance, and Data Science.
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Inspire, collaborate, and build credibility as a domain expert in Big Data specifically data science, data governance, and master data management. Working knowledge of Enterprise tools, MDM, and Big Data products like Informatica, SAP SAC, Oracle, Tableau, Salesforce, etc.
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Tops 3 Skills Needed 1 Data Engineering 5 years 2 Data Bricks 5 years 3 Sparks/ Dev ops practices 5 years Years of Experience: 5 years Technology requirements: Proficiency in Apache Spark, including Spark Core, Spark SQL and Spark Streaming.
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Experience with big-data cloud-computing infrastructure solutions in AWS or Azure ( DataBricks , Elastic Stack, MapReduce , etc. One of the following AWS Certifications: AWS Certified Cloud Practitioner, AWS Certified SysOps Administrator (Associate), AWS Certified DevOps Engineer (Professional) -or- AWS Certified Big Data (Specialty.
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Experience in building Enterprise Data Warehouse (EDW), Master Data Management (MDM), and Big Data implementations. Perform data engineering functions, including data extraction, transformation, loading, and integration, to support enterprise data infrastructures using Informatica PowerCenter.
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The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.
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Stay up-to-date with industry best practices and technologies in analytics and data engineering. Develop and maintain robust, scalable, and efficient data pipelines using Snowflake, SQL, Tableau, and DBT.
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MS or PhD with 0-3 years of experience in Chemical Engineering, Mechanical Engineering, Electrical Engineering, Bioengineering, Biomedical Engineering, Biophysics, or other multidisciplinary engineering fields with exposure to biological applications.
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As part of our data team, you’ll work with stakeholders across the business, including finance, marketing, engineering, product, operations, and support. Work with our engineering teams to validate existing data sources, identify opportunities to improve data quality, and craft requirements for robust new instrumentation as needed.
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big data engineering jobs Title: developer bi
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