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.- ...
... skills with basic knowledge of algorithms/data structures and their application. Strong understanding of Data Engineering concepts including ETL, ELT, Data Lake, Data Warehousing, and Data Pipelines. Experience designing and implementing Data Lakes, Data Warehouses, and Data Marts that support terabytes scale data. A track ...
... models, and enabling analytics using cloud-based data warehousing technologies. You will work closely with cross-functional teams to deliver reliable, high-quality data solutions that support business intelligence and data-driven https://jobeax.com/link/eE8GidNBDnRURIg5 Skills:- dbt (Data Build Tool)- Apache Airflow- Snowflake- ...
At Peroptyx, we are looking for Data Analysts who will review mapping data for digital mapping applications. You will check that the distance from a starting point to an end destination is listed accurately resulting in better user experiences. With this job you can plan your days around this highly flexible working schedule, ...
... data processing.- Work with ADLS, Azure Databricks, Azure Data Factory, Synapse, and Azure SQL DB.- Build and maintain data lakes, analytical pipelines, and data processing frameworks.- Work with Delta Lake / Delta Live Tables for reliable data processing.- Develop solutions for both big data and relational database environments.- ...
... will partner closely with divisional and functional Data Management Offices (DMOs), business leaders, and IT teams to drive execution of a broad portfolio of data initiatives spanning data strategy, data governance, data quality, data stewardship, data architecture, and data integration . The Data Program Manager will be ...
... Azure, AWS, GCP(preferred) Understanding of data warehousing, ETL/ELT, data integration, and data lake/lakehouse architectures . Knowledge of metadata management, data lineage, master/reference data, and data governance principles . Ability to translate business terminology and processes into structured data definitions and ...
... https://jobeax.com/link/r8zBttN8F8XW0le9 Responsibilities : - Develop and Maintain Data Pipelines : Design, develop, and maintain scalable data pipelines using Python and Databricks (PySpark).- Data Processing : Apply strong proficiency in Python and advanced Python concepts to process and manipulate large datasets effectively.- API ...
1400 / year
... inquiries related to Addepar’s portfolio data feeds and on general data product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage ...