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Knowledge of modern cloud native data warehouses i.e., AWS Redshift, Snowflake or Azure Synapse Analytics. Good knowledge of data base management and SQL, Informatica, Hadoop/Spark, and ETL tools.
$140,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Metadata capture and catalog services for data lake (S3/ Athena), data warehouses (RDS/ Redshift), Microservices/ APIs. Data services layer including Athena, Redshift, RDS, microservices and APIs.
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Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery. Experience with data visualization tools such as Power BI and Tableau. Experience with cloud based data services offered by Azure, AWS and Google.
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Familiarity with OLAP (Redshift, Snowflake) and OLTP (PostgreSQL, MongoDB) databases. Bachelor’s Degree in Computer Science, Data Science, Mathematics, Statistics or other quantitative area or related field.
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You have experience with data warehouses such as Snowflake, Redshift, or BigQuery. You have 4+ years experience as a Data Analyst and have mastered data analysis and visualization using Business Intelligence tools such as Metabase, Looker, or Tableau.
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Ability to automate migration of data to RDS, $3, Snowflake, Redshift. Nice to have Experience in migrating data from on-prem into Snowflake, RedShift. Good knowledge of AWS SDK e RedShift Snowflake O Redis High Availability and disaster recovery MSKIStreaming/Messaging Architectures AWS IAM and integration with AW'S Identity Center Service Resiliency - HADR designs/solutions tied to business tiering - replication across AZs and Regions e ETL Tools/MWAA AirfiowlAWS Glue EKS/ECR.
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Should have experience on working with Cloud Data Governance Catalog (CDGC), Cloud Data Integration (CDI) and Cloud Data Quality(CDQ) Working knowledge in implementing data lineage, DQ frameworks, metadata management and governance process automation is a plus.
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Current Phase : Transitioning from phase 2 to phase 3, which involves building infrastructure on AWS and Redshift, and consuming data via Azure and Power BI. Collaboration with a Data Analyst on the EMEA side who will be in Boston the last two weeks of August.
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Maintain and improve the reporting infrastructure (Looker, Databricks and AWS Redshift) throughout the organization, maximizing the usability and adoption throughout the organization. Experience working with data SaaS and BI tooling (Fivetran, Looker, Databricks, etc.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.) Proficiency in designing and implementing ETL processes and data integration workflows using tools like Apache Airflow, Informatica, or Talend.
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Stay current with emerging trends and technologies in the data engineering field, incorporating them into the organization's data strategy. 8+ years of experience in data engineering or full-stack quantitative analytics/data science roles.
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Hands-on experience with ETL tools, data lakes, and data warehousing solutions (Snowflake, Redshift, BigQuery, etc. Minimum 10 years of experience in data governance, data engineering, and data strategy, with a focus on leadership roles.
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Must have 4 years of experience in:•Any one of the data warehouses BigQuery, Redshift or Snowflake, developing data ingestion pipeline. Rollout a regional data warehouse encompassing back office data from post trade system, and provide real time reporting & visualization capabilities.
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Implement data processing solutions using Spark, Java, Python, Databricks, Tecton, and various AWS services (S3, Redshift, EMR, Athena, Glue). Deep understanding of data processing, comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing, with strong Apache Spark or Databricks experience.
$230,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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You've worked with modern data warehouses like BigQuery, Snowflake, Clickhouse, Redshift, and DuckDB. You have deep technical expertise in modern web frameworks like React and have worked with browser-native data technologies like Apache Arrow, Pyodide, and WebGL.
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redshift data jobs in Jersey City, NJ
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