... Preparation Product Area, focused on building the next generation of finance data and processing services The team builds on a lakehouse architecture using Azure Databricks, Azure Data Factory and Azure Data Lake (Delta Lake) with Python being the main programming language and PySpark is used for large scale data engineering. ...
... 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 ...
... a Senior Data Engineer to operate & design, manage & maintain, and optimize our data platform. In this role, you will bridge the gap between traditional big data engineering and modern Generative AI infrastructure. You will be responsible for building robust data pipelines on Databricks, engineering high-quality datasets ...
... monitoring, drift detection and MLOps. - Strong software and data engineering skills: Python and SQL required; Scala/Java advantageous. Experience with Spark, data modelling, ETL/ELT and streaming fundamentals. - Experience implementing CI/CD, container orchestration and observability for data systems. - Knowledge of data ...
... Must have skills – Spark, Spark SQL, at least 5-8 years of working experience with Spark. Very Strong SQL; Batch Exp is a must-have. Good Project Experience. Python is a plus not a must-have. Data Engineer Job Description: - 5-8 years of hands-on experience with Apache Spark (especially Spark SQL and batch processing). - ...
... This helps us have a big impact at the enterprise level while still feeling small and nimble. As a Full Stack Senior Software Engineer with a deep interest in data engineering, you will bridge the gap between application development and intelligent data systems. You will play a foundational role in building highly performant ...
... and mitigate data risks throughout the data lifecycle, including protection, retention, storage, use, and quality l Partner with technology teams to capture data sources, formats, and data flows so that data can be validated for downstream analytics and reporting l Investigate and document potential data quality issues, ...
... Qualifications: - 7+ years of experience in data engineering and analytics, with a strong background in designing scalable database architectures, building and optimizing data pipelines, and applying statistical analysis to deliver strategic insights across complex, high-volume data environments - Deep knowledge of big data frameworks ...
... stakeholders. Data Engineering Data Warehousing Data Modelling ETL / ELT Development Data Integration Data Quality Management Data Reconciliation Data Governance Data Lineage & Metadata Management Oracle Database Advanced SQL / PLSQL SAP BODS Oracle Data Integrator (ODI) Python Unix / Linux Performance Tuning Data Analysis ...
... fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. ~ Hands-on Python skills and Core GenAI Skills are mandatory and will be evaluated during the interviews* Job Description Design and implement advanced solutions utilizing Large ...
... 2-3 years as Data/Backend Engineer with PM work (PRDs, roadmaps, user research) Technical Stack Depth Deep understanding: ETL/ELT pipelines, data warehousing, data lakes/lakehouses Advanced SQL (query optimization, not just SELECT statements) Hands-on with ONE of: Hive/Spark/Hadoop/HDFS, Snowflake/Databricks/BigQuery, or ...
... knowledge and troubleshooting capabilities. Database backup and recovery. Database performance tuning and optimization. High availability and disaster recovery. Database security and access management. Database monitoring and capacity management. Database patching and upgrades. Data migration and database maintenance. Infrastructure ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... years of industry experience in data science, machine learning, or applied statistics, with 3+ years deploying models in production - Strong proficiency in Python and core data science libraries (pandas, NumPy, scikit-learn), with hands-on experience training and validating models on large datasets - Proven experience ...
... self-service data exploration capabilities for users to analyze and visualize data independently. Develop reporting and analysis applications to generate insights from data for business stakeholders. Design and implement data models to organize and structure data for analytical purposes. Implement data security and federation strategies ...
... intelligence. We empower the world's leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it. The entry of required data, as specified in the applicable detailed entry and category guidelines provided. General data entry guidelines that define how different fields are to be recorded ...
... experience. - Strong hands-on development experience using Python. - Experience building backend services, APIs, and microservices. - Strong fundamentals in data structures, algorithms, and software design principles. - Experience working with SQL and database technologies. - AI / GenAI - Preferred Qualifications - Experience ...
... Developer with strong expertise in backend development, API integration, and scalable application design. The ideal candidate should have hands-on experience in Python frameworks, database management, cloud technologies, and software development best practices. Develop, test, and maintain scalable Python applications. Design ...
... Proficiency in Python and SQL; experience writing PySpark transformations and Athena queries. - Experience building and maintaining ETL pipelines that ingest data from REST APIs or SaaS platforms (e.g., Salesforce, JIRA, Zendesk). - Working knowledge of Amazon QuickSight, including dataset creation, calculated fields, parameters, ...
... real-world constraints. This includes an appreciation of how architecture decisions affect maintainability, team velocity, and long-term platform evolution. Strong Python Engineering: Fluency in Python for production environments, with a focus on clean, testable, maintainable code. You should be able to communicate clearly with ...