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Experience with Streaming frameworks like Kafka , RabbitMQ Hands on experience with Cloud Platforms (AWS, GCP, or Azure) Experience in designing and implementing large-scale event-driven architectures Understanding of data warehousing and data modeling techniques Experience building and optimizing 'big data' data pipelines, architectures and data sets.
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3+ years experience in data engineering, including hands-on experience in building and maintaining data pipelines and data infrastructure. This role oversees and manages the work of Data Engineer who design and develop ETL pipelines and processes in our Cloud Infrastructure.
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At least 5 years of hands-on experience with traditional RDBMS (e.g., MSSQL, Oracle) or cloud-based data warehousing platforms (e.g., Snowflake) This is a hands on technical role that will handle the design, implementation, and optimization of data processes.
RemoteExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Hands on experience working with Python and a good understanding of shells scripts (bash/zsh, grep/sed/awk etc. Job Title: Lead Data Engineer. · The individual will need to be hands-on and work closely with all levels in the company.
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Hands on experience with web front-end technologies such as HTML5, CSS3, JavaScript, React is a plus. Being part of this Data Services Engineering team, you will have a chance to work with a diversified and hardworking team, and have opportunities to innovate, seed ideas, and show significant impact on the products we deliver.
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Works with product team to prioritize features for ongoing sprints and managing a list of data requirements based on industry trends, new technologies and project requirements. Experience with data visualization tools like Power BI.Familiarity with cloud platforms like AWS.QUALIFICATIONSBachelor s or master s degree in computer science, Information Systems, or related field.
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Looking for a strong ETL developer with hands-on experience in developing large scale Data engineering pipelines for financial services and preferably for risk management. Minimum 5 years of Hands-on experience in writing, tuning, and managing complex SQL for real-time reporting from large scale data warehouse systems in Snowflake, Oracle etc.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Hands-on expertise in modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks.
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Hands on experience with Unix, Teradata and other relational databases. Required Skills : Data WarehouseAdditional Skills : Data Engineer. Designs, develops, and implements using the skillset Pyspark, Azure Databricks, Azure Data Factory, Python, Structured Streaming, Basics of Azure, Knowledge of Data Lake, Data Warehouse concept, Knowledge of SQLs, creates design documents, and performs program coding and testing.
Part-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Hands on exp on GCP services - Cloud Storage, BigQuery, BigTable, Data Proc (Spark), Logging, IAM , Monitoring , App Engine etc. Job Title: GCP Technical Lead Data Engineer.
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Additional Skills : Data Engineer. Required skillset: Pyspark, Azure Databricks, Azure Data Factory, Python, Structured Streaming, Basics of Azure, Knowledge of Data Lake, Data Warehouse concepts and Knowledge of SQLs.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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This role is cloud facing and requires hands on experience in building and managing data engineering code in modern cloud-based technologies such as Google Big Query or equivalent.
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3+ years of solid Java and 3+ years experience in design, implementation, and support of Data Lake, Python and Azure Data bricks. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility.
$65.9 - $75.9 an hourFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Hands on experience in writing shell scripts on Unix platform Experience in data warehousing ETL tools MPP database systems. 3 8 years of hands on experience working with ETL Hadoop Knowledge of various components of Hadoop ecosystem and experience in applying them to practical problems Hive Impala Spark Strong knowledge of working with relational databases like Teradata DB2 Oracle Sql server.
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We are seeking a skilled Data Engineer to join our team. Job Title: Data Engineer. Pyspark, Azure Databricks, Azure Data Factory, Python, Structured Streaming, Basics of Azure.
ExpandApply NowActive JobUpdated 26 days ago
hands on data engineer jobs Title: data engineer in Dallas, MA, United Kingdom
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