Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. https://jobeax.com/link/6WcBICn0LM558SP0 ...
... Understanding various machine learning algorithms is beneficial. - Natural Language Processing: Experience with NLP can be beneficial for certain AI/ML projects. - Big Data Technologies: Familiarity with big data technologies like Hadoop, Spark, etc. SQL: Knowledge of SQL for database management can be a plus. - Project Management: ...
... Exposure to C++ or low-latency environment concepts. - Familiarity with R for research and visualization. - Prior experience in fintech, electronic trading, or a data-heavy research environment is highly valued. - Exposure to ML - Exposure to AI is a big plus Benefits Why This Role Is Rare - Exposure to real-time trading systems ...
... Azure Data Factory (for ETL orchestration) and Azure Databricks (for data processing with Spark) is essential. Strong SQL skills and experience writing complex data transformation logic are required; experience with programming languages like Python or Scala for data engineering is a plus. Familiarity with big data performance ...
... open-source big data technologies such as Spark, Flink, and Hive. - Experience with one of the major public cloud platforms, preferably GCP. - Working knowledge in any data transformation libraries like DBT (Data Build Tool), PySpark, or Snowpark. - Experience with data visualization tools (e.g., Tableau, Looker). - Passion for data ...
... metrics.- Support test cases, documentation and data validation for dashboard https://jobeax.com/link/uZNeF9ElGyYiAC23 We Expect From You :- Build strong SQL and data-hygiene habits early; accuracy matters more than speed at this stage.- Ask for help or clarification rather than guessing on ambiguous requests.- Document analysis ...
... with Data Architects, Data Stewards, and Data Quality Engineers to design data pipelines and recommends ongoing optimization of data storage, data ingestion, data quality and orchestration. Designs, develops, and implements ETL/ELT/CDC processes using Data Build Tool (DBT) and other native GCP Services (BigQuery Subscriptions, ...
... activities and site communications. Collaborate with the project team to address issues, resolve discrepancies, and ensure trial milestones are met. Support data management activities by ensuring timely and accurate data collection and entry. Participate in audits and inspections as required, providing necessary documentation ...
... Data Engineer will design, build, and maintain scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. Daily responsibilities include modeling and structuring data, implementing ETL processes, optimizing data storage and retrieval, and collaborating ...
Key responsibilities :Data Architecture & Platform Build :- Design and implement modern data architecture (Data Lake, Data Warehouse, Lakehouse)- Enable self-service analytics and reporting platforms- Lead implementation of BI tools and dashboards- Partner with business teams to define KPIs, metrics, and insights frameworks- ...
... performance tuning, and working with large relational datasets - Experience building and maintaining ETL/ELT pipelines and working with structured and semi structured data - Understanding of data modelling concepts (e.g. relational, dimensional, and/or big data modelling) - Strong understanding of DevOps/CI/CD concepts and tooling ...
... solutions in Client Data Product Management . As a Data Product Manager within our dynamic team , you will be responsible for scaling the CDM(client data management) data product, strengthening operating models, and driving operational excellence through data-driven execution. Drive product development for the CDM data product ...
... hands-on experience in data science.- Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, TensorFlow/PyTorch.- Expertise in SQL for data extraction, transformation, and analysis.- Proven experience with PySpark or distributed data processing frameworks.- Deep understanding of machine learning and ...
We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Job Title: Data Scientist We're the world's leading data, insights, and consulting company we shape the brands of tomorrow by better understanding people everywhere. We are looking for a Data Scientist ...
Location : BangaloreAn exciting opportunity for a Consultant Data Engineer to design, build, and optimize scalable data solutions. The role involves working across data engineering, ETL/ELT, cloud platforms, big data technologies, data warehousing, and production data https://jobeax.com/link/Hs9HFpL9CgnoXDpa Future Employer ...
... knowledge of Machine Learning algorithms and solution design/storyboarding.- Practical experience with AI Cloud Services AWS, Azure, or GCP; PySpark/Scala and Big Data technologies are a plus.- https://jobeax.com/link/5Im6Nfh21WlEEm2q MSc, MBA, or MTech in Statistics, Economics, Mathematics, Finance, or another quantitative ...
... decisions—so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike. Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data to support ...
... Behavior, Supply Chain, etc. - Exceptional SQL skills. - Experience with modern visualization tools like Tableau, Power BI, Domo, etc. - Knowledge of open-source, big data, and cloud infrastructure such as AWS, Hive, Snowflake, Presto, etc. - Experience with agile development methodologies. - Experience in retail or e-commerce ...
... needs. Create and maintain data documentation including data flow diagrams and architecture diagrams. Skills and Qualifications - 5-8 years of experience in a data engineering role or similar. - Proficiency in programming languages such as Python, Java, or Scala. - Experience with big data technologies such as Hadoop, Spark, ...
... you will do :- Translate business questions into clear metrics and an analysis plan.- Prepare and analyse large datasets using SAS, SQL and Python.- Reconcile data sources, validate calculations and investigate discrepancies.- Identify what is driving performance and recommend actions supported by the data.- Deliver findings ...