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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) Define data engineering standards and best practices and drive operational excellence. Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies.
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AWS Solution Architect Professional Certification or AWS Big Data Speciality CertifiedCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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Data Architecture & Tools: 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, data wrangling, machine learning.
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In-depth knowledge of big data technologies (e.g., Apache Spark, Kafka) and data orchestration tools (e.g., Apache Airflow, Dagster). Continuously evaluate and integrate emerging technologies and best practices in big data, cloud computing, and DevOps to drive innovation and efficiency in data engineering processes.
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Hands-on experience in LLM training, fine tuning, and/or deployment a big plus. and CUDA a big plus. Solid skills of algorithms, data structure, system architecture, and software engineering.
$124,000 - $262,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We utilize a plethora of open source and industry accepted technologies for our big data problems such as Apache Spark, Apache Storm, Amazon Web services, and Apache Kafka. Collaborates with other peer organizations (e.g., Business Analyst, Data Modeler, QA, SRE, technical support, etc.
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Desired Experience:Hands-on professional programming experience across commodities or other financial marketsExperience across power industry and power trading is a big plus. Boston Energy Trading & Marketing (BETM) is looking for an innovative Lead Data Engineer who is passionate about data and analytics, highly motivated and can take technical ownership of data solutions with an emphasis on engineering efficiency and on-time delivery.
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We are looking to speak to Big Data Architects or developers, or in fact, anyone who has legitimately been through 1 full life cycle using any Cloudera product to drive Big Data Strategies in an organization.
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Additional Skills : CRM Administrator,Database Administrator,Big Data. Identify opportunities to optimize data collection and synthesis related to career services, industry engagement, alumni engagement, and action learning; including employer and alumni participation, student engagement, and data mapping to resulting internship and job outcomes.
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Build python data pipelines using AWS lambda and chalice to ingest blockchain data from various APIs. CDK knowledge is a plus. You have a strong background in writing SQL (Snowflake, Athena, Big Query, or Postgres.
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We are Fidelity Labs, Fidelity Investments in-house fintech incubator with a mission to build new businesses to drive growth for Fidelity. Expert knowledge of Deep Learning frameworks such PyTorch, Jax, TensorFlow.
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Collaborate with client business and technology leadership to provide data strategy and architecture thought leadership (big picture thinking), trusted consultant to develop need and respective data solutions across the enterprise.
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Big Data Platforms (Cloudera, Databricks), Big Data Technologies (Scala, Impala etc), Data Modelling & Data Architecture. Skill: Big Data Modeler / Architect.
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Experience in development of custom built BI and big data reporting solutions using tools like Looker, DataStudio, or any similar tools. who designs, and delivers Data Warehouses, Data Lake, Self-service tooling, Real-time streaming, and Big Data Solutions for our rapidly growing Supply Chain Operations.
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Understanding of foundations of Big Data systems and hands-on experience with distributed computational frameworks such as Apache Spark / Apache Beam and NoSQL data stores. Experience with working on large data sets, especially with Spark, Python and Java. Experience with cloud computing platforms, such as AWS or GCP. Experience with Kubernetes.
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big data jobs Title: data in Boston, MA
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