... analysts, PMs, and game teams to translate business questions into warehouse requirements and reconcile instrumentation gaps.- Communicate design proposals and data profiling findings to both technical and leadership https://jobeax.com/link/qD1PXku8V3HtzrrZ :- Experience: 5+ years in data engineering, with deep data warehousing ...
... the product team members. Qualification & Experience . Graduate in an area such as Information Technology, Engineering . . At least 5 years experience in BigData Development. ○ Strong Hands On Experience on Python, PySpark, Java Script, AWS, Cloud . Primary Skills ○ Knowledge of SQL and relational databases ○ Proficiency ...
... Operator Certification( Training & Competency Certificate) Minimum 3-5 years of experience in warehouse operations and forklift handling Basic knowledge of warehouse processes, inventory management, and material handling Knowledge of crane rigging and lifting operations is an advantage Understanding of warehouse safety ...
... compelling and clear business focused insights. Can work with multiple databases and big data solutions. Work with the data engineering team to develop & maintain data pipelines. Identify, design, and implement internal process improvements and tools to automate data processing and ensure data integrity while meeting data security ...
... and real time data pipelines Build and maintain robust ETL ELT processes for ingesting transforming and loading data from multiple sources Develop and manage data lakes data warehouses and metadata frameworks Collaborate with cross functional teams to understand data requirements and deliver data solutions Ensure data quality ...
... quality. Big Data - Big Data - Pyspark Database - Database Programming - SQL Data Science and Machine Learning - Data Science and Machine Learning - Apache Spark Data & AI - Data Engineering - Data Quality & Validation Data & AI - Data Engineering - Apache Kafka Big Data - Big Data - Azure databricks Data Science and Machine ...
... IQVIA, SAP, or clinical data source integration SnowPro Advanced or Databricks Data Engineer Professional certification Cost optimization on both compute (warehouse/cluster) and LLM (tokens/caching/routing) dimensions Data Scientists — this role is not model training, fine-tuning, LoRA/RLHF, or ML research Pure Data Engineers ...
... large-scale data platforms, with at least 2 years of experience leading or mentoring data engineers. - Hands-on experience with Python (Pandas, Polars) and modern big data tools such as Databricks (Spark), Flink, or Kafka. - Strong understanding of data pipeline development, ETL frameworks, and data lakes/warehouses. - Extensive ...
... focused on Supply Chain and Commercial. We are looking for (senior) data engineers to join our high performing team. We aim to attract and further develop the best Data Science & Supply Chain talent. Collect business requirements from the various stakeholders (Data Scientists, Product Managers, IM) High interest in developing ...
... data solutions with business goals. Collaborate with data scientists, analysts, and business teams to deliver actionable insights. 8+ years of experience in Data engineering. Strong expertise in GCP and BigQuery. Hands-on experience with Airflow for workflow orchestration. Proficiency in Java or Python for data processing ...
Location : [Remote / Hybrid — Kolkata, Hyderabad, Bangalore] Type : Full-time We're looking for a Senior Data Engineer to design, build, and operate the data platform that powers our analytics and reporting. You'll own data pipelines and models end to end — from source ingestion through a Lakehouse medallion architecture ...
... Implement data quality and governance processes to ensure the accuracy, consistency, and reliabilityof data YOUR PROFILE: - University degree in computer science, Engineering, or a related technical field - 8 – 10+ year experience as a data engineer or in a similar data-intensive role - Proficient knowledge in ETL, Data Lake, ...
... cloud-based data platforms and services, preferably Google Cloud Platform (GCP ) Hands-on experience with GCP managed services such as: Google Cloud Storage, Dataproc, Dataflow, Pub/Sub, Cloud Functions, Cloud Composer, BigQuery, BigTable . Required Skills - 4–8 years of experience i n Data Engineering / Big Data Engineering - Strong ...
... critical data ingestion and processing capabilities, improve data quality and reliability, and develop AI-powered solutions for complex real-world healthcare data challenges. We are looking for an engineer who combines strong Python and data engineering expertise with cloud-native development, production ownership, and ...
... requirements and technical execution, ensuring high-quality solution delivery Mentor junior scientists on coding standards, experimental design, and model ethics Audit data quality and process integrity across the entire modelling lifecycle Mentor and guide junior data scientist Stay updated with the latest trends in data science ...
Key Responsibilities : Work in an Agile/SCRUM environment with a seasoned data engineering team. Design, develop, test, and debug large-scale data infrastructure. Build and migrate to a modern Data Lake & ETL infrastructure . Develop data APIs and delivery services for operational and analytical applications. Drive automation ...
... models and scalable data engineering solutions across cloud and on‑premise ecosystems. The role requires deep expertise in conceptual, logical, and physical data modelling, semantic/ontology-based modelling, and modern data architecture patterns used in Data Warehouses, Data Lakes, Lakehouses, Big Data platforms, and Graph ...
Please find the below JD for Data Engineering. Position: Data Engineer Experience: 4 to 10 Years experience in PySpark and Data bricks Location : Hyderabad Overview: In this role candidate will be responsible for understanding complex data sets, managing multiple disparate data sources, and implementing strong validation ...