... work Bachelor's degree or higher in Computer Science, Data Engineering, or a related field (or equivalent professional experience) - 3+ years of experience in data engineering, analytics engineering, or a similar data-focused role - Strong SQL skills, including schema design for data warehouse or data lake use cases - Proficiency ...
... backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, ...
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. Large Language Models (LLMs) ...
... computer science, Engineering, Information Systems, or similar field, or relevant professional experience in lieu of a degree - 5+ years of hands-on industry data engineering experience - Proficiency in SQL, Spark, Python - Hands-on experience with Databricks, AWS, Snowflake - Demonstrated strength in data modeling, ETL ...
... Medallion Architecture (Bronze / Silver / Gold) 4–6 years of production Data Engineering experience. Deep understanding of ETL/ELT design patterns and large-scale data processing. Cloud: Microsoft Azure (ADF, ADLS, Synapse) GCP (BigQuery, GCS, Dataflow) Data Governance Delta Lake Lakehouse Architecture Data Lineage Metadata ...
... data using natural language and receive accurate, contextual answers in seconds. This initiative spans multiple business domains and requires a robust, scalable data platform that delivers fresh, validated, and well-documented data at enterprise scale. We are seeking a Data Engineer II to own and scale the data platform powering ...
... Performance Tuning Spark Performance Optimization Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field. - 2–3 years of experience in Data Engineering, NLP Engineering, or AI Data Processing. - Experience working with large-scale datasets and distributed computing frameworks.
... disruptions of the future. We are looking forward to hire Azure Data Lake (ADL) Professionals in the following areas : Role - Azure Data Engineer Azure Data Lake, Data Factory, Pipelines, Synapse (mandatory) SQL, Python, PySpark / Spark-SQL Web tech, relational DBs, data warehousing, ETL design Microsoft Certified Data Engineer ...
... pipeline performance and cost: right-size compute clusters, implement incremental processing, manage storage lifecycle. Qualifications and experience - 5–8 years of data engineering experience, with at least 2 years on Databricks or equivalent Spark-based platforms. - Strong proficiency in Python, SQL, PySpark, and Delta Live ...
Job Role: Senior Data Engineer- Implementation & Modernization Location: Experience: 8+ Years The Data Engineer is responsible for building and optimizing high-performance, large-scaled data solutions on modern cloud platforms. This role focuses on developing Senior Data Engineer- Implementation & Modernization The Data ...
... – Work closely with the lead engineer, QA, and reporting teams to validate metrics and resolve data quality issues. Bachelor’s degree in computer science, Engineering, Information Systems, or related field - 6+ years of hands-on data engineering experience, with Azure Databricks and Azure Data Lake - Proficiency in PySpark, ...
... Expertise in developing data transformation pipelines using DBT . Experience building and maintaining workflows using Apache Airflow . Proficiency in Python for data engineering and automation. Experience designing, developing, and supporting end-to-end data pipelines . Strong understanding of data modelling, data quality, ...
Senior Data Engineer - Databricks | PySpark | dbt | Lakehouse Engineering ⚠️ This is NOT a typical Data Engineering position. We are looking for a hands-on Senior Data Engineer with strong, production-grade Databricks experience - someone who has actually built and optimized Lakehouse/Medallion architectures, PySpark & ...
... (data build tool) BigQuery or similar cloud data warehouses GCS (Google Cloud Storage) or equivalent cloud object storage ETL/ELT patterns and best practices Data modeling Analytics engineering 8+ years of overall experience in data engineering Preferred (Bonus) Skills Experience with equivalent cloud data warehouse platforms ...
Senior Data Engineer – AdTech Experience: 8+ years Hybrid Bangalore (Must have experience in the AdTech or Fintech domain) We're looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power AdTech platform. This is a hands-on individual contributor role focused on high-scale ...
DATA ENGINEER EXPERIENCE - 5-8 yrs WORK MODE - HYBRID Data Pipeline Development : Design, build, and optimize scalable ETL/ELT pipelines to process and transform data from various sources into Snowflake. Data Modeling : Build and maintain data models within Snowflake for optimized querying and reporting. Cloud Infrastructure ...
Opportunity Overview We are looking for a Data Engineer to build and optimize scalable data pipelines and analytical datasets on our AWS-based lakehouse platform. You will work with Apache Iceberg, AWS Glue, Athena, dbt, and Airflow to support reliable and efficient data processing for analytics and operational use cases. ...
... Engineering, Data Science or a related field. 10+ years of hands-on experience in data engineering, with at least 5 years in a people management role leading data platform or data infrastructure teams. Deep expertise in data warehousing, data modeling (dimensional and Data Vault), ETL/ELT design and big data technologies. ...
... accountable for delivering exceptional results. Perform development work and technical support related to our data transformation and ETL jobs in support of a global data warehouse. Development of new ETL/data transformation jobs, using PySpark and IBM DataStage in AWS. Enhancement and support on existing ETL/data transformation ...