- Smiths Detection is seeking an experienced Senior Data Scientist to join the company on a permanent basis. The successful candidate will bring a strong background of using AI/ML/DL algorithms and techniques. You are expected to contribute your proven experience as a Machine Learning Engineer. - Smiths Detection's Digital ...
... ETL/ELT patterns for efficient data ingestion and processing Apply advanced SQL for data querying, transformation, and analysis Collaborate with analytics and engineering teams to support data-driven decision making Ensure data quality, reliability, and performance across data pipelines Apply analytics engineering best practices ...
... Familiarity with distributed data processing and analysis, such as Map-Reduce or Apache Spark. 4+ years of experience in engineering. - 2+ years of experience in data engineering. - Understanding and experience with data cloud computing technologies such as – Azure Synapse, Azure Data Factory, SQL, Azure Data Explorer, Power ...
... and/or AWS Kinesis, including event-driven designs. - Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go). - Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale. - Experience with AWS data services and cloud-native patterns (S3, ...
DATA ENGINEER EXPERIENCE - 5-8 yrs WORK MODE - HYBRID Data Pipeline Development : Design, build, and optimize scalable ETL/ELT pipelines to process and transform data from various sources into Snowflake. Data Modeling : Build and maintain data models within Snowflake for optimized querying and reporting. Cloud Infrastructure ...
... negotiation, and closing. - Practical understanding of AI agents, chatbots, voice AI, generative AI, and workflow automation. - Excellent spoken and written English with confidence communicating with U.S. business owners and senior decision-makers. - Experience with LinkedIn, email outreach, lead-generation databases, and CRM ...
... 4–5 years of experience in data engineering - Strong hands-on experience with Python, SQL, PySpark/Spark - Experience with AWS S3, Glue, Athena - Experience with DBT and Airflow (or equivalent) - Familiarity with Apache Iceberg / Hudi / Delta - Understanding of partitioning and Parquet optimization Ability To Commute/relocate ...
... process, as well as architecting and developing new systems in collaboration with the broader Middle Office team and stakeholders. Specifically, you will Work with teams in New York, Warsaw & INDIA on low latency position keeping systems and data models to serve the Global Macro business. Help achieve business goals and ...
This role is for one of our clients Industry: Software Development Seniority level: Mid-Senior level Min Experience: 5+ years Location: Bengaluru, Karnataka, India JobType: full-time
... related to our data transformation and ETL jobs in support of a global data warehouse. Development of new ETL/data transformation jobs, using PySpark and IBM DataStage in AWS. Enhancement and support on existing ETL/data transformation jobs. Can explain technical solutions and resolutions with internal customers and communicate ...
... Deep understanding of Delta Lake, Star Schema modeling, and SaaS-based data platform design. ~ DevOps: Hands-on experience with Git integration, CI/CD for Fabric items, and Azure DevOps deployment pipelines. Preferred Experience Certifications: DP-600 (Microsoft Fabric Analytics Engineer) or DP-203 (Azure Data Engineer). Mandatory ...
... secure data ecosystems. This position also involves mentoring junior engineers and driving best practices in DataOps and performance optimization. Responsibilities: Design, develop, and optimize data pipelines using Azure Synapse Analytics, Spark Pools, and Azure Data Factory. Write efficient Python and SQL code with a ...
... entire Finance business in Amazon. Looking for a candidate with strong background in new age AWS stack (S3, EMR, Redshift) or traditional BI & DW with interest in data mining and ability to sieve emerging patterns and trends from large amount of data. Data Engineer should have strong experience with all standard data warehousing ...
... configuring, and customizing Service Portal to deliver intuitive, user-friendly self-service experiences. - Deep expertise in the ServiceNow platform, including security implementation and building scripted REST APIs, HTML/CSS, AJAX, JSON, AngularJS - Ability to generate data models and translate low-level designs into implementation ...
... skill needed along with above mentioned skills Common 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 Data Engineer - ...
... Description :As part of the cybersecurity organization, the Data Engineer is responsible for designing, building, and maintaining data infrastructure to support data-driven decision-making. This role involves working with large datasets, developing reports, executing data governance initiatives, and ensuring data is accessible, ...
... ships. The team builds traditional software — operational tooling, applications, front ends and integrations (for example with SimCorp's product platform) — with a strong data-platform component built on Snowflake. You will work closely with the SMBS AI team, the Change & Upgrade engineering team (which provides shared ...
... machine learning pipelines. Work closely with Data Scientists and ML Engineers to ensure high-quality training data. Implement data quality checks, observability, and governance frameworks. Bachelor's or Master's in Computer Science, Data Engineering, or related field. Experience: 4–6 years in data engineering with expertise ...
... requirements and technical execution, ensuring high-quality solution delivery Mentor junior scientists on coding standards, experimental design, and model ethics Audit data quality and process integrity across the entire modelling lifecycle Mentor and guide junior data scientist Stay updated with the latest trends in data science ...
... ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. - Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations ability to ...