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No Minimum years of experience: 8-10 years Certifications Needed :No Job Details: Must Have Skills Indepth Big Data, Hadoop, Hive Queries in AWS Groovy Scripting, testing, test automation, debugging REST API testing in AWS, Spark Scala jobs testing Nice to have skills AWS Databricks Delta Lake, Delta Live tables Detailed Job Description 6-8 years of IT experience focusing on Testing and Automation experience using Java and Groovy.
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Hands-on experience with Spark or ScalaGood experience in end-to-end implementation of data warehouse and data martsPreferred Qualifications: Strong understanding of databases and big data software technologies, specifically Azure and Databricks.
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Knowledge of Big Data architectures and tools (e.g., Hadoop, Spark, Cloudera, AWS stack) Assist in developing a comprehensive Corporate Data Strategy, including leveraging ETL, data warehousing, data marts, and enterprise analytics.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Familiarity with ETL, ELT, Star Schema, Hadoop, Apache Spark, Beam, Flink, and/or message brokers/messaging platforms such as Apache Kafka. Upon successful completion of the ETS Development Program, colleagues will be placed on a team where you will continue to develop your Data Engineering career.
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Experience building application using back-end languages (Primarily Java , Secondary Python/Spark/Scala), JavaScript frameworks (Primarily React JS , Secondary Angular) We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Big Data /Hadoop , SPARK , Python , Strong SQL. Maintain security and data privacy, working closely with data protection officer. Role :Big Data Developer. Help define data governance policies and support data-versioning processes.
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You will work closely with cross-functional teams to design, implement, and optimize data processing and analytics systems utilizing Hadoop, Spark, and other big data technologies.
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Must have strong hands-on experience on data processing tasks using Spark/Python for cleansing and curating to populate analytical models. · Strong Data transformation/ETL skills using Spark, Python, PySpark, HiveQL.
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Job: Bigdata Engineer with GCP experience Location: Phoenix, AZ (Looking for local candidate who can do F2F if needed in client round) Duration: Contract Onsite Role. Client: Impetus Exp.: 9 years Job Description: Looking for data engineer with hands-on experience in GCP, Spark, SQL.
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Big Data Engineer with MapReduce , spark , hive , sql. Hands-on expertise with application design and software development in Big Data (Spark(Pyspark), HIVE). Hands-on experience with public cloud data warehouse (GCP, Azure, AWS.
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Experience with big data technologies such as: Hadoop, Hive, Spark, EMR. Experience with data manipulation and visualization tools such as Tableau, Power BI, etc. As an Amazon Senior Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable.
$240,500 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Hands-on experience in Big Data technologies (Spark, Hive, MapReduce and Hbase) Bonus skills: Machine learning/data mining and Object-oriented design and coding. Strong programming knowledge in SQL, Pyspark, Data processing.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Develop Scalable Solutions: Architect and deploy robust, efficient, and scalable data pipelines and modeling solutions using cloud-based technologies (e.g., OpenShift, Docker, GCP) and programming languages like Python, BigQuery, Spark, etc.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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In-depth knowledge of Data Governance and Management concepts (API integration, metadata, lineage, data quality, data modeling, database etc.) Participate in a variety of activities related to data governance, data strategy implementation, data modeling, data requirements, risk assessment, identification of data challenges, modeling, data manipulation, and/or requirement elicitation.
$45 an hourFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Hands-on experience with big data technologies like Spark, Kafka, or similar tools for managing large datasets and distributed processing (preferably Databricks/Confluent) Design and implement dimensional models, including fact and dimension tables, utilizing star and snowflake schemas to optimize data retrieval and reporting in data warehouses.
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