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Lead Cloud Data Engineer Jobs

Lead Data Engineer Jobs
By Capital One At Richmond, VA, United States
At least 6 years of experience in application development (Internship experience does not apply)
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
7+ years of experience in application development including Python, SQL, or Scala
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
4+ years experience with Distributed data/computing tools (EMR, Kafka, or Spark)
Data Cloud Engineer Jobs
By Rapid IT At ,
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Strong analytic skills related to working with unstructured dataset
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
They should also have experience using the following software/tools:
Cloud Data Engineer - Healthcare
By Deloitte At Horsham, PA, United States
Strong knowledge and hands-on experience in designing, developing, and deploying scalable solutions on the cloud platforms
Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
1+ years' experience as a Cloud Data Engineer
1+ years' hands on experience in Snowpark, SnowSQL, Hadoop and PySpark
1+ years' experience in AWS services such as S3, Glue, Athena, Redshift, EMR, Lambda and Cloud Formation.
1+ years' experience in Python with a focus on data processing and analytics
Cloud Data Engineer - Healthcare
By Deloitte At Miami, FL, United States
Strong knowledge and hands-on experience in designing, developing, and deploying scalable solutions on the cloud platforms
5+ years' experience as a Cloud Data Engineer
5+ years' hands on experience in Snowpark, SnowSQL, Hadoop and PySpark
5+ years' experience in AWS services such as S3, Glue, Athena, Redshift, EMR, Lambda and Cloud Formation.
5+ years' experience in Python with a focus on data processing and analytics
Bachelor's degree or equivalent experience
Lead Cloud System Engineer
By CornerStone Staffing At North Carolina, United States
Provide project management skills when projects arise
Implement and manage automation tools for system deployment and maintenance
3+ years of experience in systems engineering, with a focus on cloud-based and on-premises systems and infrastructure
Experience with Azure, Google Cloud Platform, and VMWare vSphere or other cloud providers
Strong scripting skills (Python, Bash, Powershell, or similar)
Experience with web application delivery technologies such as IIS, Tomcat, Nginx, load balancing, and firewall configurations
Cloud Data Engineer Jobs
By Deloitte At Arlington, VA, United States
2+years of data engineering and architecture experience
2+ years of experience cloud analytics (GCP, AWS or Azure)
2+ years experience with Snowflake and/or Databricks
2+ years of prior professional services or federal consulting experience
Strong written and verbal communication skills
Creativity and innovation - desire to learn and apply new technologies, products, and libraries
Lead Data Engineer Jobs
By Forsyth Barnes At United States
Strong experience with Python and SQL.
Proficient experience with Snowflake, Databricks, and Azure
In-depth knowledge of Spark and PySpark for processing and analyzing large volumes of data
Lead Data Engineer – Requirements:
Ability to optimize performance and troubleshoot data processing workflows, identifying and resolving bottlenecks for improved efficiency
Unfortunately at this point, we cannot provide sponsorship of any kind for this role.
Lead Data Engineer Jobs
By Exaways Corporation At Florida, United States
Maintains active relationships with customers to determine business requirements and leads requirements gathering meetings.
Leads requirements gathering meetings and reviews designs with the business.
Coordinates and manages on-call support and owns the system monitoring process.
Leads multiple or large projects and facilitates large group JAD sessions for requirements, modeling in several disciplines.
Primary duties may include but are not limited to. Leads requirements gathering meetings and reviews designs with the business.
Advanced experience with AWS Services including - EMR, Spark, S3, Lambda, Glue, Athena etc.
Data Engineer - Cloud And Data Services
By American Express At Phoenix, AZ, United States
Experience with design and development across one or more database management systems (e.g., Oracle, PostgreSQL, MongoDB, Couchbase)
Documents data requirements / data stories and maintains data models to ensure flawless integration into existing data architectures
Documents processing requirements inclusive of data and transaction volumes, scalability, security, and performance requirements
Understands the database requirements and translate into physical database design.
3+ years of overall design and development experience
Experience with Database query optimization and indexing
Lead Data Engineer Jobs
By Eaton Corporation At , Houston, Tx $101,250 - $148,500 a year
6+ years of data engineering experience focusing on modern data management practices and contemporary toolsets
Experience with cloud integration tools such as Azure Data Factory, Informatica Data Management Cloud, Amazon Glue
Experience applying knowledge of the new processes and concepts in day to day work deliveries
Demonstrated experience with data replication/CDC tools such as HVR/FiveTran, Qlik Replicate, Golden Gate etc
Demonstrated experience in implementing data pipelines using dbt Cloud/CLI, Airflow or similar workflow orchestration tools
Strong experience working with integrating large heterogeneous datasets using modern cloud integration technologies such as Azure
Lead Data Engineer Jobs
By Eaton Corporation At , Lathrup Village, Mi $101,250 - $148,500 a year
6+ years of data engineering experience focusing on modern data management practices and contemporary toolsets
Experience with cloud integration tools such as Azure Data Factory, Informatica Data Management Cloud, Amazon Glue
Experience applying knowledge of the new processes and concepts in day to day work deliveries
Demonstrated experience with data replication/CDC tools such as HVR/FiveTran, Qlik Replicate, Golden Gate etc
Demonstrated experience in implementing data pipelines using dbt Cloud/CLI, Airflow or similar workflow orchestration tools
Strong experience working with integrating large heterogeneous datasets using modern cloud integration technologies such as Azure
Lead Data Engineer - Remote
By Harley-Davidson At , , Wi $104,000 - $156,000 a year
BS/BA in data engineering, software engineering, data science, computer science, applied mathematics, or equivalent experience
8+ years of experience working on large scale, full lifecycle data implementation projects
2+ years professional development experience with some of the AWS/Azure/GCP stack: Databricks, EventHub, Docker, Azure Data Warehouse
A deep knowledge of performant SQL and understanding of relational database technology
Hands-on RDBMS experience (data modeling, analysis, programming, stored procedures)
Experience working with Streaming data
Lead Data Engineer Jobs
By IT Associates At Chicago, IL, United States
· Client: Asset Management Company.
5+ years of working experience in a Data Engineering or Data Analytics role, with a focus on building data pipelines
Expert in SQL skills for data extraction, manipulation, and reporting
Advanced skills in Excel; VBA, as well as data tools such as Tableau
Experience developing, designing and supporting applications and relational databases
Experience with software development methodologies and best practices; C# preferred
Lead Data Engineer Jobs
By Northwestern Mutual At Milwaukee, WI, United States
Prior Asset Management and/or Institutional Investments Experience.
At least 6 years of professional software engineering, debugging, analysis, testing and software documentation experience.
Code Knowledge: Python, SQL, Kafka, AWS, Snowflake.
Experience architecting a data platform using Snowflake.
Experience with Agile methodologies/DevOps environment.
Prior experience with data mesh implementation.
Data Engineer/Cloud Engineer
By Merican Inc. At United States
• Google experience – Cloud Storage, Cloud Composer, Dataproc & BigQuery
• Experience using Cloud Warehouses like BigQuery (preferred), Amazon Redshift, Snowflake
• Working knowledge of Distributed file systems like GCS, S3, HDFS etc.
• CI/CD and DevOps experience
• Export data from the Hadoop ecosystem to ORC or Parquet file
• Build scripts to move data from on-prem to GCP
Cloud Data Engineer Jobs
By ThoughtFocus At , Irvine, Ca
Required Education, Skills and Experience
Preferred Education, Skills and Experience
Ensure data management processes are consistent with Enterprise data models
Works with individual team members and their managers to optimize queries, ETL processes and table schemas to meet end-user demands
Cloud Data Engineer will play a key role in the building, implementing and operations of our new Data Pipeline
You will be part of the team operating and migrating to this new state of the art data pipeline
Lead Cloud Engineer - Remote
By Eaton Corporation At , Remote $101,250 - $148,500 a year
Strong analytical and problem resolution skills, ability to communicate them clearly to management
Excellent relationship management skills to closely interact with various business constituents
Document and drive issues through resolution, escalating to customers, suppliers, and IT management as necessary.
Strong organizational skills to manage multiple activities/projects across regions and time zones
Designs technical solutions and collaborates with development teams to convert customer requirements into technical code or system configuration.
Ensures requirements are met and any design risks are highlighted.
Lead Data Engineer Jobs
By Wells Fargo At Addison, TX, United States
Strong experience in relational databases, Database design, Data Model development, querying, data warehousing, ETL process, requirements gathering and/or decision support tools
Experience in Database Engineering, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Ability to present to multiple levels of management
3+ years of Tableau experience
Hands on experience in SQL, SAS, SSIS, SSRS and other tools to support data mining and analytics insights
Hands-on experience in SQL especially in SQL Server & Teradata environment
Lead Data Engineer Jobs
By Wells Fargo At Charlotte, NC, United States
Strong experience in relational databases, Database design, Data Model development, querying, data warehousing, ETL process, requirements gathering and/or decision support tools
Experience in Database Engineering, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Ability to present to multiple levels of management
3+ years of Tableau experience
Hands on experience in SQL, SAS, SSIS, SSRS and other tools to support data mining and analytics insights
Hands-on experience in SQL especially in SQL Server & Teradata environment

Are you a Cloud Data Engineer looking for an exciting new challenge? We are looking for an experienced Cloud Data Engineer to join our team and help us build the next generation of cloud-based data solutions. You will have the opportunity to work with cutting-edge technologies and collaborate with a talented team of engineers to develop innovative solutions. If you are passionate about data engineering and have the skills to make a real impact, this is the job for you!

Overview Lead Cloud Data Engineer is responsible for designing, developing, and managing cloud-based data solutions. They are responsible for developing and maintaining data pipelines, data warehouses, and data lakes. They are also responsible for ensuring the security and scalability of the data solutions. Detailed Job Description Lead Cloud Data Engineers are responsible for designing, developing, and managing cloud-based data solutions. They are responsible for developing and maintaining data pipelines, data warehouses, and data lakes. They are also responsible for ensuring the security and scalability of the data solutions. Lead Cloud Data Engineers must have a deep understanding of cloud-based data solutions and be able to develop and maintain data pipelines, data warehouses, and data lakes. They must also be able to identify and resolve data issues and ensure the security and scalability of the data solutions. Job Skills Required
• Expertise in cloud-based data solutions
• Experience with data pipelines, data warehouses, and data lakes
• Knowledge of data security and scalability
• Knowledge of data analysis and data modeling
• Ability to identify and resolve data issues
• Excellent communication and problem-solving skills
• Ability to work independently and in a team environment
Job Qualifications
• Bachelor’s degree in computer science, information technology, or a related field
• 5+ years of experience in data engineering
• Experience with cloud-based data solutions
• Knowledge of data security and scalability
• Knowledge of data analysis and data modeling
• Excellent communication and problem-solving skills
Job Knowledge
• Expertise in cloud-based data solutions
• Knowledge of data security and scalability
• Knowledge of data analysis and data modeling
• Knowledge of data warehousing and data lake technologies
• Knowledge of data integration and ETL processes
• Knowledge of SQL and NoSQL databases
Job Experience
• 5+ years of experience in data engineering
• Experience with cloud-based data solutions
• Experience with data pipelines, data warehouses, and data lakes
• Experience with data integration and ETL processes
• Experience with SQL and NoSQL databases
Job Responsibilities
• Design, develop, and manage cloud-based data solutions
• Develop and maintain data pipelines, data warehouses, and data lakes
• Ensure the security and scalability of the data solutions
• Identify and resolve data issues
• Monitor data performance and optimize data solutions
• Collaborate with other teams