Data Engineer2 ommon Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow,Experience on Spark/Hive/HDFS,Data modeling for Data conversion Resources (4) Prior experience working on a conv/migration HR project is additional skill needed along with above mentioned skills Common Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow, ...
... accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Deliver impactful solutionsby executing highleverage data science and analytics initiatives within a product area or feature team, ensuring measurable improvements to user and business outcomes. Lead the design and implementationof ...
... performance metrics - Manipulate data at scale: getting data in a ready-to-use state in close alignment with various business and Spoke stakeholders. •ETL - Data Lake, Data Warehouse, RDS architectures knowledge - Python, SQL (Any other OOP language is also valuable) - Pyspark (preferably) or Spark Knowledge - Object-oriented ...
... expertise in Power Query (M language) for data transformation Advanced knowledge of Power Pivot and DAX for data modeling and analysis Experience with large dataset processing and optimization techniques Ability to work independently and manage multiple projects Bachelor's degree in Computer Science, Information Technology, ...
... successful candidate will operate as a technical authority, designing and deploying sophisticated data architectures that bridge the gap between complex raw data and strategic business intelligence. This role demands a mastery of distributed computing, advanced Python development, and expert-level SQL optimization to ensure ...
... down complex problems into structured analysis, and communicate insights clearly to the stakeholders. Bachelor's degree in a related field (e.g., Engineering, Data Science, Statistics, Business Analytics) Experience: 4-6 years in data analysis, with demonstrated ownership of end-to-end deliverables with clear business impact ...
... banking and financial data. - 4-10 years of experience in the financial services industry, preferably in investment or asset management. - Hands-on experience in data analysis and profiling using SQL is essential. - Working knowledge of coding; familiarity with Python is a plus. - Experience with BI and data visualization tools ...
... implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML ...
... test, deploy and iterate on data science solutions - Provide feedback to improve the quality of data collection to ensure adequacy, accuracy and legitimacy of data (e.g. this could involve cross-checking of different sources and validating the correlation between them) Ability to process complex data sets Ability to perform ...
As a Reference Data Specialist within the Instrument, Pricing & Common Reference Data team, your role will encompass a variety of responsibilities. These include daily capture and validation of bond prices from third-party sources, analyzing price movements in relation to market news and expectations, and liaising with ...
... and update B2B enterprise CRM data into internal systems Perform data cleaning and data cleansing to remove duplicate, incomplete, or outdated records Conduct data validation to ensure accuracy, consistency, and reliability of CRM records Maintain and organize large datasets while ensuring data integrity and confidentiality ...
Key Responsibilities: Edit and format candidate CVs Source potential candidates based on the given requirements Maintain and update data in Excel Review information carefully to make sure it is correct and complete Help the team with daily tasks as needed Requirements: Basic knowledge of Microsoft Excel Strong attention ...
... warehouse, or enterprise data platform initiatives Enterprise data modeling - Financial domain knowledge - Data quality and governance alignment - Business-to-data translation - Financial data structures - Fund / LP / GP data models - SQL / NoSQL schema design Bachelor’s degree in Computer Science, Information Systems, Data ...
... role is ideal for someone who is dynamic and hands-on , with the ability to use agentic tools efficiently to accelerate delivery across full-stack development, data engineering, and machine learning enablement . Job Responsibilities Design and build ML systems end-to-end : problem framing, data prep, feature engineering, ...
... workflows, and model evaluation frameworks. Monitor model performance in production and support continuous improvement of deployed models. Masters or PhD in Data Science, Computer Science, Statistics,Mathematics, or a related field 8+ years of professional experience as a Data Scientist,Machine Learning Engineer, or similar ...
... in Business Intelligence, operational analytics, or data analytics - Team leadership and analyst mentorship experience - Experience in business analysis and data interpretation - Experience with data warehousing technologies (such as AWS, GCP, Azure, SQL, NoSQL) - Strong SQL and Python knowledge - Experience with data ...
... implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML ...
... Expectations: - Ensure the quality of individual and team deliverables. - Maintain testing documentation and sign-offs. - Requirements: - Bachelor's degree in computer science, IT, or related field. - Strong experience in ETL testing and data warehousing. - Solid understanding of dimensional modelling (star and snowflake schemas), ...
... datasets such as ERA5, MERRA-2, IMDAA, IMERG/GPM, and GOES/INSAT/Himawari. · Practical experience on High Performance Computers (HPCs). · Fluency in the modern geoscience Python stack—xarray, dask, zarr, netCDF. · Experience building reproducible, production-grade pipelines. · Excellent written and verbal communication, including ...
Hi All, W are hiring Data Engineers, 4-9 years experience with below mandatory Skills . Job Location : Pan India ( Tech M Location) Azure Databricks, ETL, Pyspark & SQL, Medallion architecture Informatica knowledge. Fact & dimension table Medallion architecture Data bricks certification preferable ADF, Databricks, Pyspark, ...