Loading...

{{notif_text}}

The next CutShort event, {{next_cs_event.name}}, in partnership with UpGrad, will happen on {{next_cs_event.startDate | date: 'd MMMM'}}The next CutShort event, {{next_cs_event.name}}, in partnership with UpGrad, will begin in a few hoursThe CutShort event, {{next_cs_event.name}}, in partnership with UpGrad, is LIVE.Join now!
{{hours_remaining}}:{{minutes_remaining}}:{{seconds_remaining}}Want to save 90% of your recruiting time? Learn how in our next webinar on 22nd March at 3 pmLearn more

HDFS Jobs in Mumbai

Explore top HDFS Job opportunities in Mumbai for Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.

Big Data Engineer

Founded 2012
Products and services{{j_company_types[3 - 1]}}
{{j_company_sizes[4 - 1]}} employees
{{j_company_stages[1 - 1]}}
{{rendered_skills_map[skill] || skill}}
Location icon
Mumbai
Experience icon
2 - 7 years
Experience icon
4 - 20 lacs/annum

As a Big Data Engineer, you will build utilities that would help orchestrate migration of massive Hadoop/Big Data systems onto public cloud systems. You would build data processing scripts and pipelines that serve several of jobs and queries per day. The services you build will integrate directly with cloud services, opening the door to new and cutting-edge re-usable solutions. You will work with engineering teams, co-workers, and customers to gain new insights and dream of new possibilities. The Big Data Engineering team is hiring in the following areas: • Distributed storage and compute solutions • Data ingestion, consolidation, and warehousing • Cloud migrations and replication pipelines • Hybrid on-premise and in-cloud Big Data solutions • Big Data, Hadoop and spark processing Basic Requirements: • 2+ years’ experience of Hands-on in data structures, distributed systems, Hadoop and spark, SQL and NoSQL Databases • Strong software development skills in at least one of: Java, C/C++, Python or Scala. • Experience building and deploying cloud-based solutions at scale. • Experience in developing Big Data solutions (migration, storage, processing) • BS, MS or PhD degree in Computer Science or Engineering, and 5+ years of relevant work experience in Big Data and cloud systems. • Experience building and supporting large-scale systems in a production environment. Technology Stack: Cloud Platforms – AWS, GCP or Azure Big Data Distributions – Any of Apache Hadoop/CDH/HDP/EMR/Google DataProc/HD-Insights Distributed processing Frameworks – One or more of MapReduce, Apache Spark, Apache Storm, Apache Flink. Database/warehouse – Hive, HBase, and at least one cloud-native services Orchestration Frameworks – Any of Airflow, Oozie, Apache NiFi, Google DataFlow Message/Event Solutions – Any of Kafka, Kinesis, Cloud pub-sub Container Orchestration (Good to have)– Kubernetes or Swarm

Job posted by
apply for job
apply for job
Anwar Shaikh picture
Anwar Shaikh
Job posted by
Anwar Shaikh picture
Anwar Shaikh
Apply for job
apply for job

Hadoop Developer

Founded 2016
Products and services{{j_company_types[3 - 1]}}
{{j_company_sizes[2 - 1]}} employees
{{j_company_stages[1 - 1]}}
{{rendered_skills_map[skill] || skill}}
Location icon
Mumbai
Experience icon
3 - 20+ years
Experience icon
4 - 15 lacs/annum

Looking for Big data Developers in Mumbai Location

Job posted by
apply for job
apply for job
Sheela P picture
Sheela P
Job posted by
Sheela P picture
Sheela P
Apply for job
apply for job

Hadoop Developer

Founded 2009
Products and services{{j_company_types[3 - 1]}}
{{j_company_sizes[4 - 1]}} employees
{{j_company_stages[3 - 1]}}
{{rendered_skills_map[skill] || skill}}
Location icon
Mumbai
Experience icon
5 - 14 years
Experience icon
8 - 18 lacs/annum

US based Multinational Company Hands on Hadoop

Job posted by
apply for job
apply for job
Neha Mayekar picture
Neha Mayekar
Job posted by
Neha Mayekar picture
Neha Mayekar
Apply for job
apply for job
Why apply via CutShort?
Connect with actual hiring teams and get their fast response. No 3rd party recruiters. No spam.