Technical Project Manager - Data & Analytics

Kanerika Inc; Hyderabad; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

Kanerika Inc. is seeking a Technical Project Manager with a strong software development and data engineering background to lead complex technical projects in Hyderabad.

The role requires hands-on experience in SDLC, Agile, Scrum, and collaboration with data teams to deliver robust data platforms and ETL pipelines. The ideal candidate has 8–15 years of experience, certifications like CSM or PMI-ACP, and proficiency with JIRA/Confluence.

Qualifications

• 8–15 years of experience in Technical Project Management or Scrum Master roles.
• Background in software development or data engineering.
• Proficiency with JIRA, Confluence, Trello, or Azure DevOps.
• CSM or PMI-ACP or equivalent Agile certification mandatory.

Responsibilities

• Lead and manage cross-functional engineering teams to deliver software and data engineering projects.
• Bridge between technical teams and business stakeholders, translating requirements into technical data solutions.
• Own the SDLC and delivery lifecycle, ensuring Agile and Scrum best practices are followed.
• Facilitate Agile ceremonies including sprint planning, daily stand-ups, retrospectives, backlog grooming, and demos.
• Identify and mitigate risks, manage dependencies, and resolve project issues and conflicts.
• Oversee task breakdowns, sprint tracking, effort estimation, resource planning, and timelines.
• Collaborate with Data Engineers, Developers, Architects, and Product teams to align solutions with business objectives.
• Drive projects involving data engineering, ETL/ELT pipelines, data platforms, data warehouses, and data modernization.
• Monitor progress using JIRA or equivalent Agile project management tools.
• Ensure DevOps practices, data quality, testing strategies, deployment, and release management.

Skills

Data Engineering

ETL/ELT

SQL

Python

Data Warehousing

Snowflake

Databricks

Azure Data Factory

APIs

DevOps

JIRA

Confluence

Azure DevOps

Agile

Scrum

Stakeholder communication

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

JIRA

Confluence

Trello

Azure DevOps

Job description

Job DescriptionRole We are seeking a Technical Project Manager with a strong software development and Data Engineering background, along with a deep understanding of Agile and Scrum methodologies. The ideal candidate should have prior experience as a software developer or data engineer, proficiency in one or more programming languages, and hands-on exposure to data engineering, data platforms, ETL/ELT, and software delivery processes. This is a leadership role that requires a strong combination of technical expertise, data engineering knowledge, and project management skills to drive successful delivery of complex technical projects.

What You Will Do:

Lead and manage cross-functional engineering teams to deliver high-quality software and data engineering projects. Serve as the bridge between technical teams and business stakeholders, translating business requirements into effective technical and data solutions. Own the Software Development Lifecycle (SDLC) and project delivery lifecycle, ensuring Agile and Scrum best practices are followed. Facilitate Agile ceremonies including sprint planning, daily stand-ups, retrospectives, backlog grooming, and demos. Identify and mitigate risks, manage dependencies, and proactively resolve project issues and conflicts. Oversee task breakdowns, sprint tracking, effort estimation, resource planning, and project timelines. Collaborate with Data Engineers, Developers, Architects, and Product teams to ensure technical solutions align with business objectives. Drive projects involving data engineering, ETL/ELT pipelines, data platforms, data warehouses, and data modernization initiatives. Monitor engineering and project progress using JIRA or equivalent Agile project management tools. Ensure effective integration of DevOps practices, data quality, testing strategies, deployment, and release management.

Required Skills & Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field. 8–15 years of experience, with at least 4 years in a Technical Project Manager, Project Manager, or Scrum Master role, along with prior experience in software development or data engineering. Strong technical background in Data Engineering, with experience in one or more technologies such as ETL/ELT, SQL, Python, Data Warehousing, Snowflake, Databricks, Azure Data Factory, or similar platforms. Strong understanding of software development, data engineering, system architecture, APIs, and development pipelines. Hands-on exposure to data engineering projects, data platforms, data migration, or data modernization is highly preferred. Certified ScrumMaster (CSM), PMI-ACP, or equivalent Agile certification is mandatory. Proficiency with project management tools such as JIRA, Confluence, Trello, or Azure DevOps. Strong understanding of Agile/Scrum methodologies, SDLC, project planning, risk management, and delivery management. Strong stakeholder communication, team leadership, problem-solving, and decision-making skills. Exposure to AI/ML or Generative AI projects is an added advantage.