Experience in data science, engineering, and data analysis.
Experience leveraging SQL and Python (dataframes) for data pipeline orchestration, file ingestion, data cleansing, data joining and relationships, data aggregation, data manipulation, and data analysis to create meaningful informed results that drive analytics and reporting
Good English language communication skills: Ability to formulate and present insights to both technical and non-technical peers, leaders, and clients
Ability to develop creative solutions to abstract analytic problems with minimal guidance on the parameters for the final product
Experience troubleshooting and performance tuning data, code, and environmental configurations
Excellent understanding of data concepts, data architecture, data manipulation/engineering, and data engineering design
An understanding in multiple types of programming languages in order to be adaptable (statically typed vs. dynamically typed and object-oriented vs. procedural)
Adaptable – Ability to adapt to diverse technical challenges and systems
Multitasker – Ability to prioritize and deliver on multiple projects and tasks that are happening without sacrificing details
Team player - Willingness to help others on the team with technical challenges, processes,, and best practices
Desire to step beyond basic engineering tasks to understand the underlying data product in the context of the client needs and its significance to the account overall
Self-Starter – Ability to manage time and workload effectively without the need for daily check-ins or assignment through project management software
Our requirements
Understands requirements to build, enhance, or integrate data manipulation/automation programs and processes for one or more Acxiom Client solutions and/or applications. Is able to read and interpret application design and functional specifications to write or enhance application code
Develops automation jobs for data orchestration, data analysis, and data transfers
Using a relevant software language, develops/executes unit test cases and tests software applications that fulfill functional specifications. Documents and interprets test results and corrects application coding errors
Provides input on functional requirements and participates/presents code in code review sessions
Helps accurately estimate requirements in order to deliver client solutions within time and quality standards
Interacts with client/stakeholders to understand and resolve problems in a timely manner, prioritizing multiple issue responses based on the severity of the case
Optional
Experience with online and offline data. eg. 3rd party MarTech data (Email send/response, Direct Mail send/response, Prospect Lists) and/or AdTech data (Digital Ad Impressions/Activity, Social, Website activity)
Experience working in environments with strong data privacy and data governance
Experience working with AWS and/or Google Cloud Platform (GCP)
About you - 3+ years of hands-on experience in Data Engineering or Software Engineering. - Degree in computer science, engineering or equivalent technical field experience. - Proficient in cloud-based data processing and storage technologies like Databricks, Spark, Airflow. - Fluent in SQL and proficient in at least one ...
Data Engineer Miejsce pracy: Wrocław Technologie, których używamy Wymagane - Python - SQL - Spark - Polars O projekcie Budujemy „mózg” biddera RTB — systemu, który w imieniu klientów e-commerce kupuje powierzchnię reklamową w aukcjach czasu rzeczywistego. Nasze modele ML decydują, jaką kampanię wyświetlić, jak powinna wyglądać ...
- Minimum 3 lata komercyjnego doświadczenia jako Data Engineer - Praktyczna znajomość Pythona w tworzeniu i utrzymaniu produkcyjnych pipeline'ów ETL/ELT - Doświadczenie w integracjach z REST API i przetwarzaniu danych JSON/XML - Dobra znajomość SQL - Doświadczenie w walidacji danych, obsłudze schema drift, logowaniu błędów ...
... visualization tools (e.g., Power BI, Tableau). - Knowledge of machine learning, predictive analytics, and statistical modeling techniques. - Experience with cloud-based data and analytics platforms (Azure, AWS). - Microsoft Data & AI, Azure Data Engineer, Power BI, or similar analytics certifications are an advantage. What we offer ...
... visualization tools (e.g., Power BI, Tableau)., Knowledge of machine learning, predictive analytics, and statistical modeling techniques., Experience with cloud-based data and analytics platforms (Azure, AWS)., Microsoft Data & AI, Azure Data Engineer, Power BI, or similar analytics certifications are an advantage. What we offer, ...
... data ingestion and transformation processes., Work with cloud-based data platforms and Databricks., Integrate data from multiple operational systems., Build data products that support aviation operations and decision-making., Work with APIs and data exchange services., Collaborate with data providers, engineers and business ...
... will be shared during the recruitment process. Our requirements - Bachelor’s degree in Computer Science, Engineering, or related field - Proven experience as a Data Engineer or similar role - Strong knowledge of data processing technologies and database systems (SQL, NoSQL) - Experience with data pipeline and workflow management ...
... data ingestion and transformation processes., Work with cloud-based data platforms and Databricks., Integrate data from multiple operational systems., Build data products that support aviation operations and decision-making., Work with APIs and data exchange services., Collaborate with data providers, engineers and business ...
- Minimum 5 years of commercial experience in data engineering with Google Cloud - Google Cloud Professional Data Engineer certification (expected or to be obtained within the first month of work). - Advanced knowledge of the Google Cloud ecosystem: BigQuery, Cloud Storage, Pub/Sub, BigTable, Dataflow, Dataproc, Cloud Functions/Run, ...
... datasets, and data structures from legacy warehouses to the new platform - Document data flows, technical solutions, incidents, and operational procedures - Maintain data dictionaries and runbooks to ensure effective knowledge sharing and platform support - Collaborate closely with the Senior Data Engineer, Head of Data & Analytics, ...
... Creating and maintaining data import/export processes., Preparing documentation and continuously learning business aspects. At least 2 years of experience in databases and ETL., Strong SQL knowledge (procedural database languages such as T-SQL, PL/SQL)., Experience with Databricks., Experience with version control tools., ...