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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.
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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Utilize ETL tools and frameworks (e.g., Apache Airflow, Talend) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), AWS Solutions Architect, AWS Developer, or AWS Certified Big Data – Specialty (Data Analytics Specialty.
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6+ years of experience in data engineering working with big data systems that can process and transform data at scale. Experience developing with data SaaS and BI tooling (Fivetran, Looker, dbt, Databricks, Apache Airflow, etc.
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Big Data Technologies: Hadoop, Spark, Athena, materialized views. Data Visualization: Tableau, Looker, Power BI, Quicksight. Highly experienced Data Engineer with expertise in cloud engineering, data engineering, and data warehousing, particularly within the AWS and google cloud ecosystem.
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, Big Query. Looker,IBM Data Stage.
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7+ years expertise in big data ecosystem for data integration, data storage, compute framework, analytics, and advanced visualization (i.e., ETL Tools, Streaming Tools, No-SQL data bases, Spark, Airflow, ELT tools like DBT, Reporting Tools, AI/ML Platforms.
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Required Qualifications & Skills 3+ years of enterprise experience with data and platforms including: Provisioning/Data Capture, Big Data, Data Warehousing and Business Intelligence.
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You will collaborate closely with software development and operational support team members, in both ESP, across Fundamentals (including meteorology, geospatial technologies, and market intelligence and strategy) and Enterprise technology to implement best practices, drive continuous improvement and help take big-data analysis to a next level of optimization that can produce real-time market intelligence.
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I worked extensively on POCs, Consulting Solutions, ETL Framework/ Architecture, Big Data technologies, Talend Master Data management, Performance optimization, ETL techniques, pilot projects, SQL Views etc.
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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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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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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Optimize Databricks jobs for performance and scalability to handle big data workloads.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Production experience with developing content recommendation algorithms at scale and familiar with metadata management, data lineage, and principles of data governance.
$231,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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big data jobs Company: Sam's Club in GA, Canada
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