Big Data

🚀 Hiring: Data Engineer | GCP + Spark + Python + .NET |

| 6–10 Yrs | Gurugram (Hybrid)

We’re looking for a skilled Data Engineer with strong hands-on experience in GCP, Spark-Scala, Python, and .NET.

📍 Location: Suncity, Sector 54, Gurugram (Hybrid – 3 days onsite)

💼 Experience: 6–10 Years

⏱️ Notice Period :- Immediate Joiner

Required Skills:

• 5+ years of experience in distributed computing (Spark) and software development.
• 3+ years of experience in Spark-Scala
• 5+ years of experience in Data Engineering.
• 5+ years of experience in Python.
• Fluency in working with databases (preferably Postgres).
• Have a sound understanding of object-oriented programming and development principles.
• Experience working in an Agile Scrum or Kanban development environment.
• Experience working with version control software (preferably Git).
• Experience with CI/CD pipelines.
• Experience with automated testing, including integration/delta, Load, and Performance

Skills Required:

- 4+ years of technical experience in a developer role

- Strong proficiency with Core Java

- Database experience preferably with DB2, Sybase, or Oracle

- Complete SDLC process and Agile Methodology (Scrum)

- Strong oral and written communication skills

- Excellent interpersonal skills and professional approach

- Bachelor’s degree in Computer Science, MIS, or other technology/engineering discipline

Skill Desired:

-Strong proficiency with Scala on Spark

- Previous experience in front office and back office reports

- Strong understanding Order Life Cycle management from Equities or Listed derivatives perspective

- Previous experience in Trade Surveillance or working with data from the order lifecycle

- Good to have knowledge on Hadoop Technologies

- High quality software architecture and design methodologies and patterns

- Work experience as level-3 support for applications

- Layered Architecture, Component based Architecture

- XML-based technologies

- Unix OS, Scripting, Python or Perl

- Experience in development on other application types (Web applications, batch, or streaming)

About this roleWe are seeking an experienced MongoDB Developer/DBA who will be

responsible for maintaining MongoDB databases while optimizing performance, security, and

the availability of MongoDB clusters. As a key member of our team, you’ll play a crucial role in

ensuring our data infrastructure runs smoothly.

You'll have the following responsibilities

 Maintain and Configure MongoDB Instances - Responsible for build, design, deploy,

maintain, and lead the MongoDB Atlas infrastructure. Keep clear documentation of the

database setup and architecture.

 Ownership of governance, defining and enforcing policies in MongoDB Atlas.Provide

consultancy in drawing the design and infrastructure (MongoDB Atlas) for use case.

 Service and Governance wrap will be in place to restrict over provisioning for server size,

number of clusters per project and scaling through MongoDB Atlas

 Gathering and documenting detailed business requirements applicable to the data

layer.Responsible for designing, configuring and managing MongoDB on Atlas.

 Design, develop, test, document, and deploy high-quality technical solutions on the

MongoDB Atlas platform based on industry best practices to solve business needs.

Resolves technical issues raised by the team and/or customer and manages escalations as

required.

 Migrate data from on-premise MongoDB and RDBMS to MongoDB AtlasCommunicate

and collaborate with other technical resources and customers in providing timely updates

on status of deliverables, shedding light on technical issues, and obtaining buy-in on

creative solutions.

 Write procedures for backup and disaster recovery.

You'll have the following skills & experience

 Excellent analytical, diagnostic skills, and problem-solving skills

 Should understand the Database concept and develop expertise in designing and

developing NoSQL databases such as MongoDB

 MongoDB query operation, import and export operation in database

 Experience in ETL methodology for performing Data Migration, Extraction,

Transformation, Data Profiling and Loading

 Migrating database by ETL, migrating database by manual process and designing,

development, implementation

 General networking skills, especially in the context of a public cloud (e.g. AWS – VPC,

subnets, routing tables, nat / internet gateways, dns, security groups)

 Experience using Terraform as an IaC tool for setting up infrastructure on AWS

CloudPerforming database backups and recovery

 Competence in at least one of the following languages (in no particular order): Java, C++,

C#, Python, Node.js (JavaScript), Ruby, Perl, Scala, Go

 Excellent communication skills, often being able to compromise but draw out risks and

constraints associated with solutions. Be able to work independently and collaborate with

other teams

 Proficiency in configuring schema and MongoDB data modeling.

 Strong understanding of SQL and NoSQL databases.

 Comfortable with MongoDB syntax.

 Experience with database security management.

 Performance Optimization - Ensure databases achieve maximum performance and

availability. Design effective indexing strategies.

• Identify bad code practices in Scala and write new analyzers to detect them.
• Improve the coverage of automatically fixable issues.
• Ensure fewer false-positives are reported by the analyzer.
• Work on the internal tools that support analysis runtimes.
• Contribute to open-source static analysis tools.

We’re looking for someone who has:

• Strong foundational knowledge in Computer Science.
• At least 3 years of professional software development experience in Scala and Java.
• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).
• Familiarity with Scala best practices followed in the industry.
• Native experience with Linux/Unix environment.
• A focus on delivering high-quality code through strong testing practices.

Software Development Engineer – SDE 2.            

As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.

 Top Skills

You write high quality, maintainable, and robust code, often in Java or C++ or C#

You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.

You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.

Roles & Responsibilities

You solve problems at their root, stepping back to understand the broader context.

You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.

You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.

You recognize and use design patterns to solve business problems.

You understand how operating systems work, perform and scale.

You continually align your work with Amazon’s business objectives and seek to deliver business value.

You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.

You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.

You communicate clearly with your team and with other groups and listen effectively.

Skills & Experience

Bachelors or Masters in Computer Science or relevant technical field.

Experience in software development and full product life-cycle.

Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.

Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.

Proficiency in SQL and data modeling.

Spark / Scala experience should be more than 2 years.

Combination with Java & Scala is fine or we are even fine with Big Data Developer with strong Core Java Concepts. - Scala / Spark Developer.

Strong proficiency Scala on Spark (Hadoop) - Scala + Java is also preferred

Complete SDLC process and Agile Methodology (Scrum)

Version control / Git