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Proficient in ETL optimization, designing, coding, and tuning big data processes using Apache Spark, R, and airflow. Experience with Big Data technologies such as Hadoop/Hive/Spark,EMR/Databricks.
ExpandActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Technical Skills- Apache Spark SQL Developer Amazon Redshift BigQuery Databricks. Proficient in Spark or Databricks Redshift or BigQuery. Knowledge of developing low latency data processing solutions like AWS Kinesis Kafka Spark Stream processing.
ExpandActive JobUpdated 15 days ago Let’s look at some of the responsibilities of a Hadoop Developer and gain an understanding of what this job title is all about.
TeamRole Looking for a few Hadoop Developers - actual developers writing code - to come in and help with a demographic data project.
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Experience with at least four database technologies such as MSSQL Server, SAS Datasets, Hadoop, Apache Hive/Impala, Spark, Redshift, HBASE, Kafka, Spark Streaming, Neo4j, Teradata, Oracle, MySQL, DB2, Amazon AWS, Cassandra, PostgreSQL, NoSQL, JSON & XML parsing, etc.
ExpandActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Salary Range - $100k - $120kJob TitleTriage-Scala Spark EngineerRelevant Experience(in Yrs)6-10 yearsTechnical/Functional SkillsMust Have:Scala, Spark, Kafka, Triaging, AWS, Databricks, Linux, Python, DatabricksTools:, Jenkins, Git, Postman etc.
ExpandActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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This role will provide you with an opportunity to develop applications for/using various Big Data technologies like Spark or Flink, Kafka, and Cloud Computing Storage, Compute & Analytics services like AWS - S3, Redshift, RDS, MSK, EMR, Athena, Lambda, Kubernetes to name a few.
ExpandActive JobUpdated 21 days ago 
The Effects of Workplace Racism and Sexism
One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
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Proficiency in coding and development (Python, R, Octave, Hadoop, Scala, Spark, PySpark, Java, SQL, PyTorch, OpenCV, etc) Leverage cloud (OCI) technology and build models with Python and ML/DL/NLP libraries (Pytorch, Tensorflor, Bid Data, Hadoop, HBase, Spark, etc.
Full-timeExpandActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Experience with Big Data Technologies such as AWS Redshift, RDS, S3, Glue, Athena, EMR, Spark and PySpark, Snowflake, Hive etc. Develop pipeline objects using Apache Spark / Pyspark / Python or Scala.
ExpandActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Proficiency with server-side languages for structured data processing; Python, Spark, Java, Apache Spark, and Spark SQL in particular. Developing back-end website code logic that leverages semantic object linking (ontologies) within Palantir Foundry Code Workbook and Ontology Manager.
ExpandActive JobUpdated 26 days ago Support developers to clarify any questions related to spark-scala re-usable modules framework which is being used by many application teams/developers.
Follow code construction fundamentals for coding practices, guideline for use of data, control-related concepts,
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Java, Spark, Cassandra, Kafka, AWS, Big Data. Design and development around Apache SPARK or Apache Flink. Understanding of RDD and Data Frames with in Spark. Knowledge/Exposure to any AWS services - S3, Redshift, RDS, EMR, MSK, EKS, EC2, Lambda, Athena, Redshift Spectrum.
ExpandActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Hands-on experience with platforms such as Databricks and Apache Spark. Understand complex data sets and ETL processes, and how they can be optimized using Spark/Databricks. Design, implement, test, and maintain big data solutions using Spark/Databricks.
ExpandActive JobUpdated 15 days ago 
What Makes a Good Paid Time Off (PTO) Policy
The world of work has undergone some major transformation in recent years. From remote and flexible work to increased emphasis on employee benefits and wellbeing, companies nowadays have to be very intentional about their HR policies and how they approach talent acquisition.
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The candidate will have a good foundation with Spark, Python, SQL, Databricks / Glue, parquet, avro, kafka, AWS and ETL. Primary Skills: Spark (PySpark preferred, Dataframe, Filters, UDF, Partition), SQL, Python, Databricks / Glue.
ExpandActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Hands-on experience with Azure cloud computing infrastructure (Azure Databricks, Azure Data Factory, Spark) 2+ years' experience with Data Lake/Databricks/Spark in either an administrative, development, or support role is required.
ExpandActive JobUpdated 28 days ago · Good understanding of Big data technologies and how they work - Cloudera , Spark streaming a plus - from an aggregation vs.
Understanding of Hadoop Ecosystem ( HDFS, Yarn, MapReduce, Spark, Hive, Impala ) and should be able to coach the other members of the team
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Expert-level skills in writing and optimizing SQL (Spark SQL, Databricks SQL etc. Experience operating very large data warehouses (Snowflake - Preferred & Redshift) or data lakes (S3 & DeltaLake.
ExpandActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Experience with data engineering/ETL ecosystem, such as Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE. 3 years of experience with data engineering/ETL ecosystem, such as Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE.
ExpandActive JobUpdated 27 days ago 
Internal Recruiting: Benefits and 5 Internal Recruiting Methods to Consider
Internal and external recruiting are nearly the same thing. The biggest difference is where candidates are sourced. There are instances where external recruiting may be the best option. However, when you are presented with the opportunity to recruit internally, you should take full advantage of the different internal recruiting methods. Initially you will find that the hiring process gets a little bit easier. Then you'll notice all the other benefits that internal recruiting offers.
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Advanced experience with Databricks, Spark, Scala, Azure Data Factory, MongoDB, Elastic Search. Well-versed with most if not all of the following: Databricks, Spark, Scala, Azure Data Factory, MongoDB, Elastic Search.
ExpandActive JobUpdated 26 days ago
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