Pro Arch is seeking a Senior Data Engineer with 3-5 years of experience to join our Data & Analytics practice. In this role, you will design and deliver scalable data solutions, optimize performance, and enable advanced analytics across cloud platforms. You will work with large-scale datasets, modern cloud-native technologies, ...
... huge volumes of data and a short learning curve. Join our exceptional team where you'll tackle challenging problems while working alongside industry-leading data engineering talent. We offer a premium work environment where you can make meaningful contributions, shape the future of data engineering, and enjoy the journey ...
... Statistical and ML Guarantee highest ML utilization Education: Mathematics/Physics/Engineering with a master's in business/data analytics or proven track record on Data Science Proven track record of minimum 5 years as a data scientist Coding capabilities in R and/or Phyton Relationship/ Network builder Project management Experience ...
We are looking for a talented and dynamic individual to join our Data Engineering team at Marsh Mc Lennan. This is a hybrid role that has a requirement of working at least three days a week in the office: Develop a deep understanding of Digital trading platforms and other systems to optimize them for the business Gain a ...
... sustain and enhance technical architecture of Smith's cloud (and on-premise) based Platform and its applications. The position is based in Bangalore. The Senior Data Scientist is part of the overall Platform and Application Architecture group, working closely with Sales, Products & Technology, Program Management, Service and ...
... using Python. Strong proficiency in Python and object-orientated programming. Familiarity with RESTful API design and implementation. Experience with relational databases such as MySQL, PostgreSQL. Experience with version control systems such as Git. Familiarity with Docker for containerisation. Experience with microservices ...
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, ...
... realize our shared goals. Each day we build on our values of respect, integrity, and 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, ...
... questions when needed. - Professional written and verbal communication skills. - Ability to handle confidential or sensitive information appropriately. - Experience working with Salesforce CRM a plus - Prior experience in data entry, operations support, order processing, procurement support, sales support, or administrative support. ...
Qualification : BE/B.Tech/M.Tech - Computer/IT Experience : 3 to 5 Years Roles & Responsibilities: - Create and manage data pipeline architecture for data ingestion, pipeline setup and data curation - Experience working with and creating cloud data solutions - Assemble large, complex data sets that meet functional/non-functional ...
... processing and optimization techniques Ability to work independently and manage multiple projects Bachelor's degree in Computer Science, Information Technology, Data Analytics, or related field Experience with .NET framework and integration with Excel Knowledge of SQL and database connectivity Familiarity with data visualization ...
Role : Lead Data EngineerResponsibilities :- Design and build scalable, reliable data pipelines and ETL/ELT workflows across batch and near-real-time processing scenarios.- Develop and maintain data models across relational (SQL Server) and NoSQL (MongoDB, Atlas) systems to support analytical and operational use cases.- ...
... for structured and unstructured data. Ingest data from diverse sources such as APIs, streaming, and batch systems. Data Modeling & Warehousing Design efficient data models to support analytics and AI workloads. Develop and optimize data warehouses/lakes using Redshift, BigQuery, Snowflake, or Delta Lake. Big Data & Streaming ...
... in financial data, and a keen eye for resolving data quality issues. You will work with cross-functional teams to ensure accurate, reliable, and well-governed data across investment management platforms. Experience: 4-10 Years Review, analyze, and resolve data quality issues across the Investment Management (IM) data architecture. ...
... Control, Risk, AML, and Research may also be areas of experience) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Experience in adhering to controls and compliance standards Self-starter with high levels of commitment & motivation to work with data, fix issues and achieve ...
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 ...
... 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 to detail Can work independently and complete tasks on time Self-motivated and reliable in task execution
... experience in schema design for both SQL and NoSQL databases - Deep understanding of conceptual, logical, and physical data modeling techniques - Experience working with structured, semi-structured, and metadata-driven datasets - Knowledge of data quality, data governance, and metadata management principles - Experience ...
... Architecture of and administration of Big Data platforms - Data Warehouse Appliances , Open Data Lakes (AWS EMR, HortonWorks), Data Lake Technologies (AWS S3/Databricks/Other) and experience with ML and Data Science platforms (Spark ML , H2O , KNIME) - Develop and manage SPARK ETL Frameworks, Data orchestration with Airflow ...