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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) Hands-on experience with "productionalizing" Big Data applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Hands-on production experience with orchestration systems such as Airflow. Hands-on production environment experience with distributed processing systems such as Spark. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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Basic Qualifications: High school diploma, GED or equivalent certification At least 4 years of Hands On Experience in Java or Python At least 4 years of experience Sailpoint IdentityIQ At least 4 years of experience troubleshooting IGA Rules, workflows and customizations At least 4 years of experience in any Databases in writing SQL Queries to extract data.
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5+ years of experience in test automation and testing integration functions same or like RCSA related business controls Proven hands-on experience in Java, JEE, Streaming, API, Microservices, Containerization and UX/UI tools such as Angular JS/React, etcIn-depth knowledge on data engineering, DB models and architecture in RDBMS, Big Data and other cloud databases such as snowflake, Databricks, etc.
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The role demands for Java, any flavor of Spark, Hadoop, Linux, Bash, NoSQL, MPP Databases and Columnar file formats, CI/CD, DevOps understanding, and Containerization hands on. Must have strong understanding of the big data framework and understands Spark, Hive, HDFS, Impala, Presto and can query and tune those systems.
$80 an hourExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python. Tredence focuses on last-mile delivery of powerful insights into profitable actions by uniting its strengths in business analytics, data science and software engineering.
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Expert-level professional hands-on experience in extensible data pipeline development and orchestration with tools like Apache Airflow, Step Functions, etc. You are skilled in a broad set of ETL/Big Data processing techniques and will lead the architecture, design and implementation of scalable, extensible, and highly available data ETL pipelines on large volume data sets, which will enable actionable insights and ML workloads across Pfizer’s Commercial business.
$248,600 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Primary Responsibilities: Client is searching for a hands-on business-focused technology manager to lead Client Master MDM solution that covers institutional and wealth management channels and manages data about organizations and associated contacts.
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Infrastructure/ CICD/DevOps/ Ansible / Fortify / Jenkins Big data / AWS Cloud / Micro services Spark using Scala / python/java and HDFS Good understanding of AWS cloud (EC2, EMR, Lambda, S3, Glue, etc.
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Familiarity with Lucene/ElasticSearch is a plusExperience in Reference Data / Investment BankingGo-getter & HardworkingPassionate developer & good team playerShould be able to lead a projectExposure to Agile, Jira, ScrumsAbility to learn, adapt and work with minimal direct supervisionSecondary Skill - jQuery, SPARQL, RDF, Python, AngularJS, RDBM (at least 1 - Oracle / Sybase) - 3-5 Years of hands on exp.
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The must-have for the role is hands-on experience (two to three years) with Adobe Analytics, Coremetrics, or Google Analytics. This famous brand is making a play to be THE integrated omnichannel retailer of the future, and they’re making a big bet in data and analytics.
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Knowledge of and hands-on experience with big data processing and parallel computing frameworks, such as Hadoop and Spark. As a Software Engineer on the Ads Targeting team, you will design and build large-scale foundations for data processing and serving for next-generation ads targeting products, and applied machine learning models to scale budgets by understanding user interest and intention.
$410,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking a skilled Python, SQL, and Databricks Developer with 4 to 8 years of hands-on experience to join our dynamic team. Work with Databricks platform for big data processing and analytics.
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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). Hands on experience utilizing both supervised and unsupervised ML (Machine Learning) algorithms.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
hands on big data jobs in Little Ferry, NJ
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