Gurgaon Sector 45 Gurugram Haryana Us it recruiter Jobs – 126 Open Jobs Today

Software Engineer 3
MongoDB —Gurugram, Haryana
- Azure
- SQL
- AWS
Lead, Platform Engineering
MongoDB —Gurugram, Haryana
- Azure
- AWS
- Mentoring
11d
Senior Data Scientist
Baxter —Gurugram, Haryana
- Full-time
- Azure
- Oracle
- Computer Science
- Health insurance
- Paid time off
Engineering Manager- Backend(Adtech/Media)
dunnhumby —Gurugram, Haryana
- Azure
- DevOps
- System design
- Flexible schedule
Quick apply
Sr Asst Mgr, Sales - ITT
Baxter —Gurugram, Haryana
- Master's degree
- Business development
- Project management
- Paid time off
5d
Asst Mgr, Sales - Pharma (Cochin)
Baxter —Gurugram, Haryana
- Management
- B.Sc
- Data analysis skills
- Paid time off
6d
Asst Mgr, Sales - Pharma (Chennai)
Baxter —Gurugram, Haryana
- Management
- B.Sc
- Data analysis skills
- Paid time off
6d
Senior Product Manager
MongoDB —Gurugram, Haryana
- Azure
- AWS
- Product management
Asst Mgr, Sales - ITT (HQ - Pune)
Baxter —Gurugram, Haryana
- Data analysis skills
- Communication skills
- Negotiation
- Paid time off
Senior DevOps Engineer
dunnhumby —Gurugram, Haryana
- Azure
- DevOps
- Mentoring
- Flexible schedule
Quick apply
Principal Lead- AWS Security Architect
Ameriprise India —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- AWS
- Work from home
Senior Platform Engineer
MongoDB —Gurugram, Haryana
- Azure
- AWS
- Linux
SAP Data Migration Architect
Metyis AG —Gurugram, Haryana
- Full-time
- Hybrid work
- Azure
- Computer Science
- Data analysis skills
Quick apply
Lead Engineer- Backend( Media/Adtech)
dunnhumby —Gurugram, Haryana
- Azure
- DevOps
- System design
- Flexible schedule
Quick apply
Senior Data Architect
Alight —Gurugram, Haryana
- Oracle
- Computer Science
- Data analysis skills
- Health insurance
- Paid sick time
Lead Engineer- dotnet
dunnhumby —Gurugram, Haryana
- Azure
- DevOps
- System design
- Flexible schedule
Quick apply
Salesforce CPQ engineer 3
MongoDB —Gurugram, Haryana
- Azure
- Computer Science
- Salesforce
Lead, Engineering
MongoDB —Gurugram, Haryana
- Azure
- Management
- Java
Principal Technologist / Field CTO
MongoDB —Gurugram, Haryana
- Remote
- Azure
- Computer Science
- Up to 50% travel
Staff Engineer
MongoDB —Gurugram, Haryana
- Azure
- Java
- Databases

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Software Engineer 3

MongoDB -
Gurugram, Haryana

Apply Now

Job details

Qualifications

Cloud infrastructure
Azure
Big data
Spark
Google Cloud Platform
Apache Hive
MongoDB
SQL
AWS
ETL
JSON
Data science
Data warehouse
Python

Full job description

The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

The Data Pipelines Engineering team is responsible for building ETL pipelines that populate the Internal Data Platform, which drives analytics that help the company run more efficiently. Our team builds highly performant and scalable processes that extract massive datasets and makes those datasets available for querying in an optimal way. We are also building a Generative AI framework that will help teams within the company tap into the data that we store in their Retrieval-Augmented Generation (RAG)-based applications.

We are looking to speak to candidates who are based in Gurgaon, India for our hybrid working model.

What you'll do

Design, build and maintain efficient, scalable ETL/ELT pipelines using Python and Spark across batch, file-based, and streaming architectures
Ensure data quality, reliability and timeliness across pipelines by following established data engineering best practices
Model and store large datasets using modern file formats (Parquet, JSON, Avro) and table formats (Iceberg, Hive)
Deploy pipelines on cloud infrastructure, leveraging Cloud-based technologies (mostly AWS, some GCP) to build and deploy data pipelines
Partner with Data Analysts and Data Scientists to understand their needs and deliver the datasets that drive their work
Work with Security and Compliance teams to ensure that datasets have appropriate permissions and regulations in place
Work with our Data Platform, and Governance sibling teams to make data scalable, consumable, and discoverable

We're looking for someone with

4+ years of building ETL pipelines for a Data Lake/Warehouse
Expertise in Python, Spark, SQL, Airflow
Experience with data warehousing and engineering concepts, analytical data modeling, data quality validation, monitoring, and pipeline reliability practices
Hive, Iceberg, Glue, or other technologies that expose big data as tables
Familiarity with different big data file types such as Parquet, Avro, JSON etc
Background in building data platforms on Cloud (e.g. AWS, GCP, Azure)
Exposure to real-time or streaming data technologies is a plus

Success Measures

In 3 months, you'll have collaborated with stakeholders in Data Analytics and Data Science to build your first ETL pipeline
In 6 months, you'll have owned the delivery of a large project from start (scoping, design) to finish (delivery)
In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB's unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we're powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.

To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID - 2273437556

Apply Now

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us it recruiter jobs in gurgaon sector 45 gurugram haryana

Software Engineer 3

Lead, Platform Engineering

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Sr Asst Mgr, Sales - ITT

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Senior Product Manager

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Senior Platform Engineer

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Salesforce CPQ engineer 3

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Principal Technologist / Field CTO

Staff Engineer

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