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Hands-on experience and specialization in various data and analytics disciplines including some of the following (data engineering, ETL/ELT, ML/AI, streaming, API integration and development, data/dev ops, data science, data virtualization.
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Key Responsibilities: Lead the engineering team in designing, developing, and deploying solutions applying modern web frameworks, machine learning solutions, data engineering technologies, microservices, and cloud-native architecture.
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Modern Data Stack experience (Snowflake, Synpase, Databricks, Redshift, DBT, and/or Airflow) 10 years of experience in data engineering, data architecture, BI & Analytics, and/or Data Science.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
$165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced Data Engineering Skills : Proficiency in designing and managing ETL processes using DBT, Python, Terraform and Airflow. Innovative Data Solutions: As a Data Engineering Manager, you will lead the charge in designing and implementing data architectures on Azure and Snowflake Platforms.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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Familiarity with modern ETL integration solutions (SSIS, Ab Initio, Datastage, Informatica, Azure Data Factory). The Data Architect will be held accountable for the following responsibilities: Define and implement the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platformsCreate standards, design patterns, and best practices for ETL development in an enterprise data warehouse environment.
$115,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our client is a leading proprietary trading firm that is seeking a Quantitative Software Engineer to join their Front Office Data Engineering team in London. Be a key player in the newly established and fast-growing Data Engineering team, driving the future of data innovation across the company.
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Knowledge of the following technical landscape : Online Video Streaming, Video Encoding/Decoding, Data Engineering, Data Analytics and Statistics OTT Client Application Development, User Account Management, Payment/Billing/Entitlement technologies Technology standard (ISO, FCC, MPA, W3C, SCTE, Security/Privacy Standards.
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Job Title: Senior Quant Data EngineeringLocation: Carrollton, TX Demonstrated data engineering experience, utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way.
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Ownership and oversight of our AWS cloud infrastructure, collaborating with the data engineering and data science teams. Experience working in a modern data platform is required (Snowflake is preferred); Modern warehousing best practices should be second nature.
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As an ideal candidate:•You understand the key aspects of legacy and modern data center architectural systems and how to incorporate new innovations. As a Principal Architect, you are a leader and visionary in your field, collaborating with and leading the work of cross-functional teams including: technical program management, product management, structural engineering, civil engineering, mechanical engineering, electrical engineering, supply chain management, operations, safety, security, finance, and legal.
$146,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking an experienced Data Architect to lead the design, development, and implementation of our data architecture, with a strong emphasis on data engineering pipelines, data lineage, data governance, and banking risk or regulatory reporting.
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Implements appropriate analytical steps for different use cases, leveraging modern cloud data warehouse and engineering tools like BigQuery, Snowflake, and others. Leverages modern analytical platforms and tools for statistical programming, including Python, R, and SAS. Applies conventional analytics techniques such as regressions, time-to-event analysis, propensity score matching/weighting, and advanced analytics like machine learning and artificial intelligence.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
modern data engineering jobs Title: engineering Company: Grainger Businesses
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