Job Title -Senior Technical Program Manager
Job Title -Senior Technical Program Manager
Location - Miami, Florida
Fully remote work
need 8+ for a technical Project Manager with Big Data experience. This is a one year + contract and open for Fully remote work.
Client Notes: Please make sure you candidate has the below skills. This is a Fully remote role. Looking for EST/ CST candidates. Lead a few workstreams within team • Be the Manager of the product that we are developing • End to End approach to bring the product to production • Sprints on a weekly basis for each workstream • Navigate across technologies • Implementing in Hadoop or Cloud is nice to have • Review end to end applications in order to support production • Data structure knowledge- flows, how the data will move across applications needs to be strong. Be able to provide a final table with the final map text • Agile • This person should be able to lead the Engineers. Needs to know how things will be flowing and how the technology works. What the data pipeline is. Understand difference in Bash like Hadoop vs Elasticsearch etc. Understand the technology, but not be necessarily technical • Manage the development of end-to-end data pipeline. Lead the engineers in timeline. Expose the timeline to stakeholders. That is the main role for this job. • Needs some knowledge of SQL to help with Data. We build pipelines end to end. It will help them to really understand.
Join a fast-growing team
As a Technical Program Manager on the Data Engineering & Analytics team, you will develop data & analytics solutions that sit atop vast datasets gathered by retail stores, restaurants, banks, and other consumer-focused companies. The challenge will be to create high-performance algorithms, cutting-edge analytical techniques including machine learning and artificial intelligence, and intuitive workflows that allow our users to derive insights from big data that in turn drive their businesses. You will have the opportunity to create high performance analytic solutions based on data sets measured in the billions of transactions and front-end visualizations to unleash the value of big data.
You will have the opportunity to develop data-driven innovative analytical solutions and identifying opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions through activities like building ML models, automated data pipelines, design data architecture/schema, perform jobs in big data cluster by using different execution engines and program languages such as Hive/Impala, Python, Spark, R, etc. Your Role
- Drive the evolution of Data & Services products/platform with an impact focused on data science and engineering
- Participate in development of data and analytic infrastructure for product development
- Collaborate with the Product dev teams to understand tech requirements for new products
- Participate in identification and evaluation of data elements to deliver analytics for product development
- Continuously innovate and determine new approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations
- Partner with roles across the organization including consultants, engineering, and sales to determine the highest priority problems to solve
- Evaluate trade-offs between many possible analytics solutions to a problem, taking into account usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision
- Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients and other stakeholders
- Evangelize releases to users, incorporating feedback, and tracking usage to inform future development
- Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.
- Work with small, cross-functional teams to define vision, establish team culture and processes
- Consistently focus on key drivers of organization value and prioritize operational activities accordingly
- Identify and act upon product improvement opportunities
- Aggregate and collate client data sets and conduct data manipulation and technical analysis leveraging industry techniques and best practices to identify trends and draw insights
- Clean and structure data sets fed to downstream analytics
- Escalate technical errors or bugs detected in project work
- Maintain awareness of relevant technical and product trends through self-learning/study, training classes and job shadowing.
Ideal Candidate Qualifications:
- Superior academic record at a leading national university
- In depth technical knowledge, drive and ability to learn new technologies
- Experience on Platforms/ Data Environments
- Prior experience in working in product development/management role
- In depth technical knowledge, drive and ability to learn new technologies
- Outstanding communication skills (both verbal and written) and organizational skills
- Strong project management skills
- Experience in building and deploying production level data driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python
- Experience in delivering analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting
- Curiosity, creativity, and excitement for technology and innovation
- Demonstrated quantitative and problem-solving abilities
- Ability to multi-task and strong attention to detail
- Motivation, flexibility, self-direction, and desire to thrive on small project teams
- Coding experience will be an asset
The following skills will be considered as a plus
- Financial Institution or a Payments experience a plus
- Experience in developing integrated cloud applications with services like Azure. Databricks, Amazon or GCP
- Experience of managing/working in Agile teams
- Expertise with tunning Impala and Spark jobs in Hadoop
- Experience developing and configuring dashboards