Innovatily - Technical Project Manager - Agile Methodologies (8-15 yrs)

About the job :

Company Description :

Founded in 2020, Innovatily is a fast-growing team specializing in digital services, including software development, AI, data analytics, and more.

With expertise in data science, mobile app development, and AI/ML solutions, we focus on creating impactful and innovative solutions for organizations of all sizes.

Role Description : .

As a Technical Project Manager, you will lead the delivery of end-to-end ETL projects using AWS and Spark.

You will be responsible for managing a cross-functional agile team, ensuring successful project execution, and communicating with stakeholders to meet business objectives.

You will need a strong technical understanding of data engineering, cloud platforms, and the ETL lifecycle to make informed decisions and drive delivery at a fast pace.

Key Responsibilities :

- Project Leadership : Lead and manage multiple projects, ensuring successful delivery within time, budget, and scope.

- Agile Methodology : Facilitate agile ceremonies (daily stand-ups, sprint planning, sprint reviews, retrospectives) to drive team alignment, productivity, and collaboration.

- Stakeholder Management : Act as the primary point of contact for stakeholders, ensuring regular updates on project status, risks, and deliverables. Manage expectations and ensure alignment on business and technical requirements.

- Technical Oversight : Collaborate with technical teams, understanding the intricacies of data pipeline design and architecture. Ensure the team adheres to best practices in AWS and Spark-based ETL development.

- Risk Management : Identify project risks early and develop mitigation strategies. Monitor progress and remove any roadblocks to project success.

- Team Collaboration : Work closely with data engineers, architects, and other stakeholders to design, build, and deploy scalable ETL solutions on AWS.

- Continuous Improvement : Foster a culture of continuous improvement, ensuring the team constantly enhances processes, methodologies, and tools.

- Quality Assurance : Ensure that the ETL processes are optimized for performance, scalability, and reliability, meeting high-quality standards.

Required Skills and Qualifications :

- Experience : 7+ years of project management experience, focusing on delivering data engineering and ETL projects using AWS and Spark. Technical Expertise : Strong knowledge of AWS services (e.g. , S3, EMR, Lambda, Glue, Redshift) and Apache Spark. Experience with data pipelines, ETL frameworks, and distributed data processing.

- Agile Methodology : Solid understanding of agile frameworks (Scrum, Kanban) and hands-on experience leading agile teams.

- Stakeholder Management : Proven ability to communicate effectively with technical and non-technical stakeholders, managing expectations and delivering successful outcomes.

- Problem-Solving : Strong analytical and problem-solving skills, with the ability to think strategically and troubleshoot complex issues in ETL pipelines.

- Leadership : Experience leading teams, mentoring, and guiding engineers through complex technical challenges while ensuring timely delivery of projects.

- Certifications : PMP, Scrum Master, or other relevant certifications are a plus.

Preferred Qualifications :

- Experience with other data processing frameworks like Apache Flink or Hadoop or Glue.

- Experience with monitoring, logging, and optimization tools in AWS.

- Understanding of data warehousing concepts and tools (e.g. , Amazon Redshift, Snowflake).

Why Join Us?.

- Opportunity to work with cutting-edge technologies in a fast-paced environment.

- Be a part of a team that values collaboration, continuous improvement, and growth.

- Competitive compensation and benefits package.

- Work on impactful projects that drive business outcomes and data innovation.