... Skills, Education, or Experience - Experience developing and supporting data integration, ETL/ELT processes, data pipelines, and data transformations using modern data platforms and cloud-based technologies. - Working knowledge of data modeling, SQL, data quality practices, metadata management, and data governance principles ...
We are looking for a Senior Data Engineer with strong expertise in Azure Databricks, PySpark, and distributed computing to develop and optimize scalable ETL pipelines for manufacturing analytics. The role involves working with high-frequency industrial data to enable real-time and batch data processing. Perform data pre-processing, ...
... develop, and maintain scalable ETL/ELT data pipelines on GCP.- Build and optimize data solutions using BigQuery, Dataflow, Cloud Storage, and Pub/Sub.- Develop data processing workflows using Python, SQL, and Spark/PySpark.- Design and implement data models and data warehouse solutions.- Perform data ingestion, transformation, ...
... management practices.- Build, mentor, and scale high-performing AI Engineering and Data Science https://jobeax.com/link/2mGCGUAQ2cwJhAx8 Candidate :- 1. Strong Lead Data Science, AI Engineer, or Machine Learning Engineer profiles.- 2. Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience ...
7500
... structures, algorithms, design concepts, and programming practices. - Data modelling for OLAP workloads, Scalability design and query optimisations - Understanding of data consistency at cloud scale, eventual consistency models - Hands on experience with Big data tools and frameworks (Datalake / Lakehouse, ETL) preferably in public ...
Role Purpose This incumbent should be a highly motivated Project Manager – DCBU to lead end-to-end execution of fiber-centric data center network infrastructure projects, including AI Datacenters Key Responsibilities - Manage structured cabling projects across all lifecycle phases: initiation, planning, execution, monitoring, ...
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. Must have skills : AWS Glue ...
... and optimizations within the data platform architecture. Must To Have Skills: Proficiency in Data Engineering, Python (Programming Language), Data Wrangling, Data Mining. Experience with Python (Programming Language), Data Wrangling, Data Mining. Strong understanding of data integration techniques and data modeling concepts. ...
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. Must have skills : Databricks ...
... (RCA) and drive permanent resolutions. Participate in on-call support and major incident management (P1/P2 incidents). Troubleshoot application, middleware, and database issues. Execute change requests (CRQs) following approved implementation plans and MOPs. Support patching activities and certificate renewals. Work with cross-functional ...
Sr. Data Engineer (6-9 yrs) Responsibilities : Data masking: implement PII masking pipeline Builds & maintain synthetic data generator CI/CD pipeline integration with auto-seed data Validates generated data against the ground truth – referential integrity, volume accuracy, etc. data validation characteristics. Technical ...
... and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data ...
... experience with data visualization tools like Tableau or Power BI https://jobeax.com/link/D7jAhstFP8xZgdHX least 3 years of experience in Cloud platforms (e.g., ADF, Data bricks, Azure) and their AI services. At least 6-8 years of experience in data science & 1 year with a focus on supply chain analytics, supply chain processes, ...
... AI, and financial services data science, bringing innovative approaches into the organization. Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, Engineering, or another quantitative discipline. Master's or PhD is a plus. At least 3 years of hands-on experience in Data Science, Machine ...
12k
... consistently. You will also partner with the different teams to identify, pilot, and operationalize AI- and automation-driven tools that reduce manual work, improve data quality, and scale our workflows, while training your team to adopt these tools safely and effectively. A Day in the Life of a Provider Data Operations Team Lead: ...
... in Python and related data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.). - Experience with Firebase, REST APIs, and cloud-based data integration. - Advanced skills in data visualization and BI tools (Looker Studio, Tableau, or Power BI). - Solid understanding of data architecture, data modeling, ...
... competitive advantage. Band: M3/M4 (6 to 14 years) Should have experience in PySpark and Scala + Spark for 4+ years (Min experience). Proficient in debugging and data analysis skills. Should have Spark experience of 4+ years Should have understanding of SDLC and Big Data Application Life Cycle Should have experience in GIT ...
... technical teams. - Technical Skills: - Expertise in data modeling, data warehousing, and database design (both relational and NoSQL). - Strong proficiency in data engineering, including experience with ETL tools, data integration frameworks, and big data technologies. - Hands-on experience with cloud data platforms (e.g., ...
$8 USD
... programming language (Python OR Java) Proficiency with Pyspark,relational databases, SQL and data pipelines Knowledge of financial concepts (e.g., Experience in data modeling and visualisation is a plus Experience with any public cloud is highly desired (AWS preferred) Experience with data-lake or data platforms like Databricks ...
... experience in building robust ETL/ELT pipelines and modern data https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities : - Design, develop, and maintain scalable data pipelines using Apache Airflow.- Develop and optimize data transformation models using dbt (Data Build Tool).- Build and manage data solutions on Snowflake.- ...