... implementing AI-enabled solutions and BI tools to automate reporting, forecasting, and financial analysis processes Maintain automation mindset to streamline data sources and data lakes to drive Process optimization initiatives to create efficiency Contribute team playing, creative thinking and solutions that help achieve ...
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 ...
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, ...
... 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 ...
Design Engineer Experience: 3-6 years This role involves advanced mechanical design, focusing on powertrain components and assemblies.
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 ...
... (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 ...
Ensure timely and accurate reporting of financials for monthly, quarterly closes Prepare management reports and provide comprehensive variance analysis. g. to be used by business unit leaders, and officers.
... 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 ...
... behaviour and preferences to inform feature engineering and model architecture decisions Experience with machine learning frameworks, optimization solvers, and big data ecosystems (e.g., in Data Science, Manufacturing Management and process , Operations Research, Industrial Engineering, or a related field Experience in price ...
40k
... operations efficiently and in a manner that enables business performance while ensuring risk management imperatives Coordinate seamlessly with Credit Processing Analysts to ensure case files are logged appropriately before proceeding to initiate credit operations Work as per process-driven coordination mechanisms with Sales ...
... 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 Learning, Advanced Analytics, or Quantitative Modeling. Strong preference for candidates with experience in: Consumer lending, digital lending, ...
... Maximum Experience - Bachelor's degree in information systems, Business, Computer Science, or equivalent experience - 4–8 years of experience as an Applications Analyst, Functional Analyst, or Business Systems Analyst - Experience supporting non-SAP enterprise applications - Experience working with global business stakeholders ...
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: ...
... 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 ...
... decision-making, optimize user engagement, and drive measurable growth across web and mobile applications, including React-based environments. Lead and mentor a team of Data Scientists and Analysts to design and implement advanced data models and analytics solutions. Define and drive the organization's data science roadmap aligned ...
... 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
... develop, and deploy scalable data solutions that meet business requirements Build pipelines that support the ingestion, analysis, and enrichment of financial data by collaborating with business data analysts Advocate for standard methodologies, find opportunities for automation and optimizations in code and processes to ...
... 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.- ...