101 to 125 of 221 Amazon Redshift Jobs

will work within a collaborative startup team to deliver modern data solutions using Agile and DevOps practices. Ideal candidates have experience with Snowflake, BigQuery, Redshift, and visualization tools like Power BI or Tableau, and are committed to continuous learning and knowledge sharing within the team. #J-18808-Ljbffr ...

data quality and collaborate with cross‐functional teams to deliver data platforms for analytics and products. The role focuses on Snowflake/BigQuery/Redshift within an AWS environment, with emphasis on performance, observability and mentoring other engineers. Strong communication and leadership are essential. #J-18808-Ljbffr ...

requires the ability to hold an active security clearance. Skills : Python and SQL . Apache Airflow for DAG orchestration and monitoring. AWS data services: Redshift , OpenSearch , Lambda , Glue , Step Functions , Batch . CI/CD pipelines and YAML-based configuration Seniority level Mid-Senior level Employment type Full-time ...

requires the ability to hold an active security clearance. Skills : Python and SQL . Apache Airflow for DAG orchestration and monitoring. AWS data services: Redshift , OpenSearch , Lambda , Glue , Step Functions , Batch . CI/CD pipelines and YAML-based configuration Seniority level Mid-Senior level Employment type Full-time ...

principles. Experience optimising cloud infrastructure for performance, resilience and cost efficiency. Key Skills: AWS (ECS, Auto Scaling Groups, ALB, CloudFront, Lambda, RDS Aurora, ElastiCache, Redshift, S3, MSK, Control Tower) Terraform & Infrastructure as Code Linux (Ubuntu) Bash/Shell scripting Docker PHP 7/8 SQL, MySQL & PostgreSQL ...

rare opportunity to play a key role in rebuilding a modern cloud-based data platform while working with cutting-edge technologies including AWS, Redshift, Power BI, SQL, and Python . If you thrive on solving problems, uncovering insights and building data solutions that drive business value, we'd love ...

data lifecycle, from ingestion and processing through to transformation, storage and consumption. Build and optimise data solutions using AWS services such as Glue, EMR, Redshift, Kinesis, Lambda and DynamoDB. Work with large volumes of structured and unstructured data, integrating information from multiple sources. Develop data solutions using technologies including ...

data lifecycle, from ingestion and processing through to transformation, storage and consumption. Build and optimise data solutions using AWS services such as Glue, EMR, Redshift, Kinesis, Lambda and DynamoDB. Work with large volumes of structured and unstructured data, integrating information from multiple sources. Develop data solutions using technologies including ...

data lifecycle, from ingestion and processing through to transformation, storage and consumption. Build and optimise data solutions using AWS services such as Glue, EMR, Redshift, Kinesis, Lambda and DynamoDB. Work with large volumes of structured and unstructured data, integrating information from multiple sources. Develop data solutions using technologies including ...

insights from well-designed data models. Who are we looking for? You have strong expertise in SQL & Python for relational database systems such as Redshift/S3 and SQL Server. You have several years of strong experience with ETL/ELT processes and APIs with tools such ...

engineer, or quantitative analyst, ideally at a fintech, payments, marketplace, or consumer tech company. Strong SQL. You can navigate large, messy warehouses (BigQuery, Snowflake, Redshift, or similar) and write performant, readable queries. Solid Python (or R) for analysis and modeling: pandas, scikit-learn, statsmodels, and at least one deep ...

building modular, well-tested modelsSolid understanding of dimensional modeling and metric designExperience working with cloud data warehouses (BigQuery, Snowflake, or Redshift)Experience with metrics/semantic layers (e.g. dbt metrics, MetricFlow, Cube)Strong data quality mindset (testing, validation, monitoring)Comfortable working with event-based data and cross-functional teamsAble ...

incomplete or evolving datasets and turning them into reliable assets for downstream users Experience with analytical data warehouse technologies such as ClickHouse, BigQuery, Snowflake, Redshift or similar would be beneficial Experience with version control systems (preferably GitLab) and working with tools such as JIRA & Confluence Experience working in Agile ...

growStrong stakeholder engagement skills and ability to shape solutions from ambiguityCuriosity and a passion for turning data into meaningful business valueAdvantageousExperience working with AWS Redshift, dbt and DatabricksExperience with AI, M/L tooling and data preparation as well as data orchestration and cataloguingWhat you can expect from us...Meaningful ...

/PLSQL queries and improving performance of reports and data extracts. Hands‐on experience with at least one cloud data platform, ideally AWS (e.g., Redshift, RDS, or similar). Exposure to modern data transformation tools such as dbt or similar frameworks. Basic understanding of cloud concepts (networking, storage, security … performance. Bonus Skills Experience with other reporting/BI tools such as Power BI or AWS QuickSight. Experience with cloud data warehouses like AWS Redshift, Snowflake, or BigQuery. Some knowledge of Kafka and a programming language (e.g., Python or Java) for building data workflows and automation. Familiarity with ...

processes for ingesting, transforming and processing data from multiple sources Design and implement data solutions using AWS services such as S3, Glue, Lambda, Athena, Redshift, EMR and related technologies Design data models and storage approaches appropriate to analytical and operational requirements Develop solutions using Python, SQL and modern data … complex enterprise environments Strong experience designing and delivering data solutions on AWS Strong knowledge of AWS data services such as S3, Glue, Lambda, Athena, Redshift and EMR, with experience selecting the right services for different requirements Strong Python and SQL skills Experience designing and building scalable ETL/ ...

solutions on AWS. Develop data ingestion, transformation and storage pipelines to support reporting, analytics and operational use cases. Work with AWS services including S3, Redshift, Glue, Lambda, Lake Formation, Athena and EventBridge. Implement Bronze, Silver and Gold data layers using Medallion Architecture principles. Build and maintain ETL/… integration environments. Key skills and experience Proven experience designing and delivering AWS-based data platforms. Strong hands-on experience with services such as S3, Redshift, Glue, Lambda, Lake Formation, Athena and EventBridge. Experience implementing Medallion Architecture, including Bronze, Silver and Gold data layers. Strong data engineering experience across batch ...

developing data analytics and AI-driven solutions. Skilled in designing and automating data quality metrics and KPIs. Proficient with AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric, Functions). #J-18808-Ljbffr ...

developing data analytics and AI-driven solutions. Skilled in designing and automating data quality metrics and KPIs. Proficient with AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric, Functions). #J-18808-Ljbffr ...

experience in data science, analytics or business intelligence (typically 10+ years) Advanced knowledge of Python and SQL Experience working with cloud platforms such as Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine ...

production environments Strong understanding of data quality, reconciliation and validation practices Experience working with analytical data warehouse technologies such as ClickHouse, BigQuery, Snowflake or Redshift (beneficial) Experience with version control systems (preferably GitLab) and tools such as JIRA and Confluence Comfortable working with messy, incomplete or evolving datasets ...

security technologiesWhat we're looking for6+ years' experience in data architecture on complex, secure programmesStrong hands‐on AWS experience (EC2, S3, RDS, Lambda, Redshift); Azure or GCP a bonusProven experience using Apache Flink for real‐time, high‐throughput data processingExperience leading, mentoring and developing technical teamsConfident engaging with senior ...

developing data analytics and AI-driven solutions. Skilled in designing and automating data quality metrics and KPIs. Proficient with AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric, Functions). To be Considered.... Please either apply by clicking online or emailing me directly ...

What we're looking for 6+ years' experience in data architecture on complex, secure programmes Strong hands-on AWS experience (EC2, S3, RDS, Lambda, Redshift); Azure or GCP a bonus Proven experience using Apache Flink for real-time, high-throughput data processing Experience leading, mentoring and developing technical teams ...

experience- 5+ years in data engineering, including ownership of data platforms, lakehouses, distributed systems, or backend services.- Experience with analytical databases such as Snowflake, Redshift, ClickHouse.- Strong Python and SQL skills.- Production experience with Java or Kotlin. We will also consider strong experience in another systems language.- Experience with ...