Manager Data Engineering Jobs

Cosmos + SQL experience, Azure data bricks, Power BI, Kusto.

Knowledge of Azure Data Factory, ADLS.

Proven experience in strong Data Analysis dealing with large volume of datasets.

Proven experience in Design & Implementation of end-end data pipelines.

Should have strong knowledge of Data Warehousing concepts.

Should have very good experience in BI tools (but not limited to)

Collaborate with cross-functional teams to understand data requirements and business objectives.

Proven experience as a Data Engineer or similar role, with a strong portfolio of data engineering projects.

Strong knowledge of data warehousing concepts and data modeling techniques.

Experience with big data technologies (e.g., Hadoop, Hive, HBase) is a plus.

Excellent problem-solving skills and the ability to work with complex data structures.

Strong communication skills and the ability to collaborate effectively with cross-functional teams.

You are an experienced data manager with hiring and leading high-caliber, data-focused teams with diverse technical strengths

Provide technical vision and strategy for building a data ecosystem that enables Netflix to leverage data around finance within cross-functional teams

Build strong relationships across business, science, analytics, and engineering partners

Balance immediate stakeholder needs vs longer term vision

Grow and mentor this team through thoughtful observation and courageous, honest feedback

Build a secure and robust data ecosystem for the entire Netflix’s financial ecosystem

Engineering Best Practices – Lead engineering standard processes, including test-driven development, agile management, and continuous integration pipelines

Education: Bachelor's degree in computer science, information technology, engineering, mathematics, or equivalent technical degree

Experience: 5+ years in a similar role

Previous experience with leading data engineering teams is required

Experience designing data models following Kimbal Dimensional Modeling standard processes

Experience working with modern ETL/ELT tools, such as Databricks is required

You will work with product management team members to help resolve priorities and the roadmap for your team.

Demonstrated experience leading engineering teams focused on large-scale, distributed SaaS systems.

Demonstrated experience with DevOps practices and leading teams to build and operate their own services.

Strong communication skills, both verbal and written.

10+ years of Software Engineering experience and recent 4+ years of experience managing engineering teams.

You will develop psychological safety in the teams.

Experience managing, scaling and mentoring teams in a high growth tech environment, preferably a product led company.

We are proud to offer all regular full-time and part-time employees 20 hours paid volunteering leave per calendar year.

Develop and implement the strategy for the Data Platform in close collaboration with other data and engineering leaders.

Evangelise best data practices and drive adoption across the company.

Partner with security and legal domain experts to ensure guardrails for data governance.

401k matching up to 6%

HGV Now Offers Day One Team Member Benefits!

Ensure that data systems meet or exceed necessary compliance and regulatory requirements.

Ability to manage team projects.

Excellent analytical and technical skills.

Excellent planning and organizational skills.

Maintain healthy engagement with other technical and non-technical departments to provide right-sized data solutions for business and technology needs.

You are an experienced data manager with hiring and leading high-caliber, data-focused teams with diverse technical strengths

Provide technical vision and strategy for building a data ecosystem that enables Netflix to leverage data around finance within cross-functional teams

Build strong relationships across business, science, analytics, and engineering partners

Balance immediate stakeholder needs vs longer term vision

Grow and mentor this team through thoughtful observation and courageous, honest feedback

Build a secure and robust data ecosystem for the entire Netflix’s financial ecosystem

Bachelor’s degree in Information Systems, Computer Science, Data Science, Analytics, Mathematics, or equivalent practical experience.

6 years of experience in data using SQL and Python languages.

3 years of experience in architecting and leading data engineering, data warehousing, dimensional modeling, data analytics, business intelligence, and data solutions.

2 years of experience managing projects.

2 years of experience managing cross-functional or cross-team projects.

Experience leading organizational change efforts using data tools and solutions to improve organization efficiency.

5+ year Technical Program Management Experience

Bachelors (or equivalent experience) in Marketing, Engineering/CS, Electrical Engineering or similar degree

6+ year Product Development Experience

Comprehensive cross-functional schedules ○ Ensure sound execution strategy is established and executed

Continuously assessing program risks and mitigation plans

Track critical metrics (key performance indicators): Bug closure, checklist compliance, etc.

Robust object-oriented design pattern knowledge and implementation experience using Python.

BA/BS in Computer Science or equivalent practical experience

0-2 years’ experience as a software engineer

Experience with Python frameworks like Django, Flask and Pandas

Experience working with large volumes of time series data and building services, APIs and applications based of it

Experience in designing multi-tier application architecture and distributed caching solutions

3+ years of technical program management experience and 5+ years of professional experience preferred.

A coach and mentor to your peers, providing invaluable recommendations for management and individual contributors alike.

Superiorly situationally aware, able to manage without authority, and possess top-notch negotiation skills.

Able to demonstrate your past experiences implementing various methodologies to guide projects to exceptional outcomes.

Interested and enthusiastic about the consumer digital space in general and personal finance in particular.

Hands-on software engineering or equivalent technical experience strongly preferred.

Bachelor's Degree or higher in STEM areas such as Computer Science, Information Management, Big Data & Analytics, or equivalent work experience.

Maintain technical skills and knowledge of market trends and competitive insights; collaborate and share with the technical community.

Strong understanding of Agile SDLC implementation in public cloud eco systems including environment management, test automation, CI/CD, resource optimization

Needs to have worked with software configuration management environments and tools such as JIRA, Git, Jenkins, Bitbucket, Confluence

Have a strong hand on experience in Data Engineering and displays eminence in modern data architectures across the organization.

Provide thought leadership and new perspectives on how to leverage GCP cloud services and capabilities.

You have experience working on a cloud platform like Microsoft Azure Cloud or AWS or GCS (AWS Preferred)

You have proven experience building software solutions in the and have fluency in Python

“I can succeed as a Data Engineering Manager at Capital Group.”

You can learn more about our compensation and benefits

You have a bachelor’s degree in Computer Science, Engineering or a related technical field

You have led a team of 5+ members to deliver high-quality data products.

Experience with AWS and its data and analytics offerings such as Glue, Lambda, DMS, etc.

Associates at Corporate are offered many fantastic benefits.

5+ years’ experience as a Data Engineer working with large enterprise tools and datasets

Working knowledge of Snowflake and Redshift

Experience using Agile to complete work

Excellent written and oral communication skills.

Have 3+ years of combined tech leadership and people management.

Have exceptional analytical and problem-solving skills

Have experience writing modern data pipelines deployed in the cloud.

Have previously led and/or managed a team of 5 or more engineers.

Have 8+ years of experience working with data as a software developer or data practitioner.

Have experience building and maintaining modern data pipelines in the cloud at an Enterprise scale, ideally using Snowflake and dbt.

Define the processes needed to achieve operational excellence in all areas, including project management and system reliability.

Data Engineering Manager, Analytics (Monetization) Responsibilities:

Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.

Manage data warehouse plans across a product vertical.

Manage the delivery of high impact dashboards and data visualizations.

Define and manage SLA’s for all data sets and processes running in production.

Coordinates with vendors to ensure talent management, on-boarding and transition are performed in a consistent manner.

Able to manage complex technology development concepts, capabilities and maturity.

Manage several agile squads working on security, analytics and governance frameworks and platforms for our cloud-native lake house and governance products.

In partnership with Product Owner, manager total cost of ownership and identifies key performance indicators to measure success of work product.

Removes roadblocks and obstacles; manages interdependencies when needed.

Manages the quality of work delivered by team members and deals effectively with performance issues in a timely manner.

Provide thought leadership on data discovery, metadata management, lineage capture capabilities

Provide expertise on systems, market trends, technology directions, and product directions related to data governance and information management tools and capabilities

Identify and champion the roadmap for new technologies and infrastructure needs for data governance and data management capabilities

1. Strategy, Leadership, and Management

Manage Data Warehouse, ETL Design, and development teams

Guide continuous innovation and development of data capabilities

Applicants: Send resume with cover letter with salary requirements and reference code 6470945.

subject to approved medical and/or religious exemptions, in accordance with applicable law.

The annual base pay range for this role is between $165,000.00 and $180,000.00.