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DevOps Engineer – Big Data Systems
DevOps Engineer – Big Data Systems
venanalytics's logo

DevOps Engineer – Big Data Systems

Rincy jain's profile picture
Posted by Rincy jain
4 - 5 yrs
₹10L - ₹15L / yr
Mumbai
Skills
skill iconPython
Google Cloud Platform (GCP)
Big Data
DevOps
CI/CD
skill iconDocker
skill iconKubernetes
PySpark

About the Role


We are looking for a highly motivated Project Manager with a strong background in cloud technologies, big data ecosystems, and software development lifecycles to lead cross-functional teams in delivering high-impact projects. The ideal candidate will combine excellent project management skills with technical acumen in GCP, DevOps, and Python-based applications.


Key Responsibilities

  • Lead end-to-end project planning, execution, and delivery, ensuring alignment with business goals and timelines.
  • Create and maintain project documentation including detailed timelines, sprint boards, risk logs, and weekly status reports.
  • Facilitate Agile ceremonies: daily stand-ups, sprint planning, retrospectives, and backlog grooming.
  • Actively manage risks, scope changes, resource allocation, and project dependencies to ensure delivery without disruptions.
  • Ensure compliance with QA processes and security/compliance standards throughout the SDLC.
  • Collaborate with stakeholders and senior leadership to communicate progress, blockers, and key milestones.
  • Provide mentorship and support to cross-functional team members to drive continuous improvement and team performance.
  • Coordinate with clients and act as a key point of contact for requirement gathering, updates, and escalations.


Required Skills & Experience


Cloud & DevOps

  • Proficient in Google Cloud Platform (GCP) services: Compute, Storage, Networking, IAM.
  • Hands-on experience with cloud deployments and infrastructure as code.
  • Strong working knowledge of CI/CD pipelines, Docker, Kubernetes, and Terraform (or similar tools).

Big Data & Data Engineering

  • Experience with large-scale data processing using tools like PySpark, Hadoop, Hive, HDFS, and Spark Streaming (preferred).
  • Proven experience in managing and optimizing big data pipelines and ensuring high performance.

Programming & Frameworks

  • Strong proficiency in Python with experience in Django (REST APIs, ORM, deployment workflows).
  • Familiarity with Git and version control best practices.
  • Basic knowledge of Linux administration and shell scripting.


Nice to Have

  • Knowledge or prior experience in the Media & Advertising domain.
  • Experience in client-facing roles and handling stakeholder communications.
  • Proven ability to manage technical teams (5–6 members).


Why Join Us?

  • Work on cutting-edge cloud and data engineering projects
  • Collaborate with a talented, fast-paced team
  • Flexible work setup and culture of ownership
  • Continuous learning and upskilling environment
  • Inclusive health benefits included






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About venanalytics

Founded :
2019
Type :
Services
Size :
0-20
Stage :
Profitable

About

Ven Analytics – Derived from the Sanskrit word वेण् meaning “to know”. We are a media focused Analytics company and we build applications and dashboards beyond imagination. Our services and products are laser focused to solve Analytics problems FOR Broadcasters, Agencies and Advertisers.


Agile Startup

Our agility helps us percolate through the hierarchy and rapidly deploy solutions for bottommost contributor


Best of Both

A through understanding of business and technology sets us apart from our competitors

 

Young and Vibrant

Being a young organization we are eager to take up new challenges and make sure we custom deliver them as requested


VISION

Our vision is to become the destination AdTech company for the entire M&E sector


MISSION

We are on a perpetual mission to solve big problems and deliver exponential value to our clients

Read more

Candid answers by the company

What does the company do?
What is the location preference of jobs?

An analytics company with a mission to change the “gut-feel” way of business to a more data-driven ideology by helping organizations realize the potential of data. We help organizations harness their data and deliver action-oriented insights using smart dashboards and machine intelligence.

Company social profiles

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