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Architect and drive the end-end Big Data deployment automation from vision to delivering the automation of Big Data foundational modules (Cloudera CDP), prerequisite components and Applications leveraging Ansible, Puppet, Terraform, Jenkins, Docker, Kubernetes to deliver end-end deployment automation across all ServiceNow environments.
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Title: System Engieer / Big Data Administrator Lead (Cloudera) This is a Big Data Administrator Lead position and not a developer position and is a hands-on position. The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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Develop data, analytic, and data science models using Python, PySpark, Large Language Models (LLM) algorithms, and working with other big data tools such as AutoML, BigQuery(BQ), BQML, DataPrep and Jupyter Notebook.
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Spark, Elasticsearch, Databricks, etc. Experience in architecting data pipelines and solutions for streaming and batch integrations using tools/frameworks like dbt, Talend, Azure Data Factory, Spark, Spark Streaming, etc.
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Familiarity with the intersection of Big data environments and analytics such as data lake construction, cloud based analytical data storage (Big Query, Redshift or Snowflake), Automated Data Pipelines, GCP applications, and cloud deployment.
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Experience in building highly performant and scalable data ingestion pipelines, and hands-on experience with cloud-based big data technologies such as Spark, BigQuery, and Azure Data Lake Analytics.
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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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Possess deep technical expertise in Java programming, Spring Boot microservices, and big data technologies in the AWS cloud environment (Redshift, Athena, etc. Extensive Expertise with Apache NiFi, JAVA and JAVA Spring boot Microservices, AWS, Red Shift, Athena and Big Data technologies.
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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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Familiar with big data technologies (e.g. Snowflake, Databricks, AWS Redshift) Demonstrated experience with developing data strategy, policies, and procedures, as well as successfully executing programs that meet or exceed expectations in a dynamic environment; experience creating tools and capabilities to assist with data discovery & collaboration, ensure data quality, and to load, clean, enrich, manage, and share data and metadata from a variety of sources.
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Strong experience with distributed data architectures and big data processing technologies (Spark, EMR, Hadoop, Hive) Discerning appreciation of best practices in designing data lakes/lake houses, mentoring junior members, peer review and recommendation.
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Experience with Snowflake, Google BigQuery is a big plus. You have experience building and maintaining various data engineering frameworks. Build the data products, features, tools, and frameworks that enable and empowering data engineering, analytics teams across FOX with our data.
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Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases.
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Deploy, triage, and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging. We are a premier provider of solutions in Software Engineering, Cyber Security, Cloud Computing, Big Data, DevSecOps, and Data Analytics.
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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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big data jobs Company: Addus Homecare in WA, Ohio
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