We are seeking a highly skilled Lead Data Engineer to join our global reinsurance team. This role focuses on leveraging cutting-edge technologies, including Azure and SSIS architectures, to support underwriting, claims analysis, and risk management. You will design and implement scalable data solutions, ensuring seamless data integration, availability, and security across systems and teams in a collaborative, global environment.
Key Responsibilities:
Design and Implement Data Solutions: Lead
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Job Description
Our client is expanding their Data & Analytics (D&A) capabilities to support Distribution for Data Analytics and are building a new team of engineers. As a Senior Data Engineer, you will work closely with the Product Manager and Analytics Consultant to develop robust data solutions. This role is ideal for an experienced engineer with a passion for backend data work and hands-on development.
Key Responsibilities:
Develop curated data products for analysts using ETL (Extra
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Role: Data Engineer
Location: Dallas TX (Day 1 Onsite) Duration: Permanent
Key Skills
AWS
AWS Glue
SQL
Kafka
Snowflake
Pyspark
Python
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Implementation partner: TCS
Work authorization Needed: USC or GC only
Lociaotn: New York-2, NY (Day One Onsite)
Job Description/Skills: Data Engineer/Analyst
Strong SQL hands-on experience
Very good at Python coding
Knowledgeable in Snowflake and DBT models
Familiar with Azure Data Factory
Familiar with Azure Data Bricks
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Title: GCP Data Engineer with Hive, Spark, BigQuery exp
Job Description:
Client is looking for a Data engineer with experience with ETL workflows and data pipelines using tools like Hive, Spark and Airflow. The ideal candidate should be an expert in developing, testing and deployment of data pipelines, data analytics efforts, proactive issue identification and resolution and alerting mechanism using traditional, new and emerging technologies. Excellent written and verbal communication skills
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We are seeking a Senior Data Engineer. This position will carry the responsibility of an associate director but will be hands-on and not carry any direct management responsibility but provides an opportunity to solve complex business, data, and technical challenges. The Senior Data Engineer will have delivered solutions which are mixed on-prem / AWS hybrid and have demonstrated a drive toward building cloud-native solutions. The person in this role will be responsible for driving execution throu
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Role: Data Engineer Location: Bentonville is primary location where they need to sit Spark, Kafka Data design, Data services, Data warehousing Sql - creating structures, tables, building services around that R SSAS Azure aql, Google bigquery DBA type of work Requirement: Bachelor's degree in Computer Science or related field or equivalent combination of industry-related professional experience and education.
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We are seeking a full-time contractor or employee for a Senior Data Engineer role.Perform database programming to modernize legacy programs for various projects. Develop simple and complex Structured Query Language (SQL) scripts for data migration and validation. Perform data profiling and analysis. Develop technical documentation including source to target mapping. Develop database code (triggers and stored procedures) for data entry and reporting. Support compliance with acceptable best practi
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Job Title Data Engineer
Work Site: San Jose, CA / Raleigh, NC
Duration: 6+ Months
Required Skills:
* 12-15 years of experience
* Responsible for designing, implementing, and maintaining data pipelines and architectures that support Supply Chain logistics operations. Work closely with cross-functional teams to ensure data integrity, optimize data flows, and facilitate data-driven decision-making processes.
* Needs experience
o programming with Python, Scala, and SQL,
o MLOps tool
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Sr Data EngineerLocation: Pittsburgh, US (Onsite)Duration: 12 Months
DESCRIPTION
Design, construct, and maintain scalable data management systems using Azure Databricks, ensuring they meet end-userexpectations. Supervise the upkeep of existing data infrastructure workflows to ensure continuous service delivery. Create dataprocessing pipelines utilizing Databricks Notebooks, Spark SQL, Python and other Databricks tools. Oversee and lead the modulethrough planning, estimation, implementation
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