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Cloud-first experience with modern data engineering tools such as Apache Spark, python, dbt, Databricks, and Snowflake. Experience with AWS, Snowflake, Databricks/Apache Spark, Redshift, technologies.
$140,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR. 10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc.
$226,000 - $361,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Proven expertise in AWS services (S3, Redshift, Glue, EMR, Lambda) and Databricks. If you are passionate about data engineering, have a strong background in AWS and Databricks, and thrive in a collaborative and innovative environment, we want to hear from you.
$146,400 - $175,100 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Familiarity with big data technologies, such as Amazon Redshift, Google BigQuery or Snowflake. Foster a culture of collaboration, innovation, and continuous improvement within the engineering organization, delivering to PMG's ambitious roadmap.
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Minimum of 10 years of experience in data engineering roles and 2+ years leading / maintaining data DevOps for Data Pipeline and ETL solutions with a focus on SQL, Databricks, Postgres, and Redshift.
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You are technically engaged with your team and their projects, not only guiding career growth and delivery efforts of the team, but establishing standard processes, driving quality, and encouraging reliability and governance standards Anticipate working with Python, SQL, Redshift, and integrating data in AWS. You will also oversee developing new and improving existing data infrastructures along with aiding in scaling the company.
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Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc. MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent.
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High familiarity with data platform and applications such as S3, Tableau, Databricks, Redshift and Airflow. Collaborate with cross-functional partners in product, engineering, Business units, marketing, finance and legal to define and build data definitions and data stewardship.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Center 3 (19075), United States of America, McLean, VirginiaSenior Manager, Data Engineering - Capital One Software (Remote Eligible) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake, AWS.
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5+ years of experience in Database Engineering primarily in AWS Redshift, RDS/Aurora, DynamoDB, DMS, Glue. Experience with AWS Database Migration Service (AWS DMS) and migrating RDBMS (SQL Server/Oracle) from On-premise to AWS (Aurora/Redshift.
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Data Ingestion and Aggregation: Partner and support Analytics Engineering team to implement robust strategies to efficiently ingest and aggregate B2C transaction data from various sources into Redshift and Snowflake data warehouses.
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Demonstrated experience in data engineering, with a focus on setting up and managing Amazon Redshift environments. Jolt is on the lookout for a Data Lead to oversee its Amazon Redshift environment, which houses all of its data sources, its LLM and machine learning algorithm, and both the internal team and external client data visualization.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Bachelor's degree in Computer Science/Engineering, Information Systems or equivalent work experience in a technical position. Working knowledge with primary AWS Services like S3, Lambda, Batch, Glue, Athena, EC2, EBS, CloudWatch, CloudTrail, ECS, ECR, EMR, IAM, SNS etc.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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