Manager

2 days ago

bangalore, India C5i Full time

C5i is looking for Technical Manager with 13+years experience in Data Engineering, GCP, Data governance, Project management and team management.


Location : Bengaluru


Kindly share your profile if interested at


1. Technical Understanding of Data Engineering

  • Data Pipeline Architecture : Knowledge of data pipelines (ETL/ELT) and how data moves from source to destination.
  • Cloud Platforms : Familiarity with platforms like AWS, Azure, or Google Cloud for data storage, processing, and analytics.
  • Databases & Querying : Understanding different types of databases (SQL, NoSQL) and data storage systems (e.g., Data Lakes, Warehouses).
  • Big Data Frameworks : Experience with big data technologies such as Hadoop, Spark, or Kafka.
  • APIs & Integrations : Understanding how APIs and various data integrations work between systems.
  • Data Security & Compliance : Awareness of regulations such as GDPR, HIPAA, and practices around data privacy and security.


2. Project Management Expertise

  • Agile & Scrum Methodologies : Familiarity with Agile frameworks, sprint planning, backlog grooming, and release management.
  • Stakeholder Management : The ability to manage expectations of cross-functional teams (data scientists, data engineers, business leaders).
  • Risk Management : Proactively identifying, assessing, and mitigating project risks related to timelines, resources, and dependencies.
  • Budget & Resource Planning : Managing budgets, resource allocation, and timelines for efficient project delivery.
  • Documentation & Reporting : Efficient tracking and documentation of project progress, challenges, and solutions, keeping stakeholders informed.


3. Data Governance & Quality Management

  • Data Governance Frameworks : Understanding data governance practices such as role definition (Data Owner, Custodian) and compliance mechanisms.
  • Data Quality : Ensuring accuracy, consistency, and reliability of data, and managing processes for data validation and cleansing.
  • Metadata Management : Knowledge of tools and practices to manage and document metadata across systems.


4. Cross-functional Leadership

  • Collaboration with Engineers : Strong ability to work closely with data engineers, architects, and developers, understanding their challenges and providing clear guidance.
  • Business Understanding : Ability to translate business needs into technical specifications and ensure alignment with business objectives.
  • Communication : Clear and effective communication skills for presenting updates, risks, and strategies to both technical and non-technical stakeholders.


5. Analytical and Problem-Solving Skills

  • Problem-Solving : The ability to quickly analyze issues within data flows, integrations, or processes and facilitate resolution.
  • Decision-Making : Making informed decisions based on data-driven insights, balancing between technical constraints and business goals.
  • KPIs and Metrics : Familiarity with key performance indicators for project success, including data processing speed, reliability, and accuracy.


6. Tool Proficiency

  • Project Management Tools : Proficiency in tools like Jira, Trello, or Asana for project tracking.
  • Data Engineering Tools : Awareness of data tools like Apache NiFi, Talend, or Informatica for managing data flows.
  • Version Control & CI/CD : Basic understanding of version control systems (e.g., Git) and Continuous Integration/Continuous Deployment pipelines.


7. Adaptability and Continuous Learning

  • Staying Updated : Ability to stay current with emerging trends in data engineering, cloud computing, and big data technologies.
  • Adaptability : Flexibility to adjust project plans or technical approaches as new information or challenges arise.

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