Hiring for Data Engineer - Ecommerce

Company Name – Client Freshworks,Location : Perungudi Chennai (Hybrid)

• Strong written/verbal communication skills

• Minimum 3+ Years of Core Java Programming with Collections Framework, Concurrent Programming, Multi-threading (Good knowledge in Executor service, Fork joins pool and other threading concepts)

•  Good knowledge of the JVM with an understanding of performance and memory optimization.

•  Extensive and expert programming experience in JAVA programming language (strong OO skills preferred).

•  Excellent knowledge on collections like, Array List, Vector, LinkedList, HashMap, Hash Table, HashSet is mandate.

•  Exercised exemplary development practices including design specification, coding standards, unit testing, and code-reviews.

•  Expert level understanding of Object-Oriented Concepts and Data Structures

•  Good experience in Database (Sybase, Oracle or SQL Server) like indexing (clustered, non-clustered), hashing, segmenting, data types like clob / blob, views (materialized), replication, constraints, functions, triggers, procedures etc.

Sr Java Developer

Experience: 5+ Years

Location: Navi Mumbai, CBD Belapur

Domain: Banking (Payment Aggregators Project)

Work Schedule: 1st and 3rd Saturdays required, as per banking norms

Education: B.E. or Graduation in Computer Science or related field

Budget- 15 Lacs max fixed

Initial document check list before sharing the profiles.

Education

1. 10th Passing Certificate
2. 10th Mark Sheet
3. 12th Mark Sheet
4. 12th Passing Certificate
5. Convocation Certificate (Mandatory)
6. PG (if completed) Degree Certificate & Passing Certificate

Employment

1. Previous Organization’s Offer Letter
2. Previous Organization’s Appointment Letter
3. Previous Organization’s Experience Letter
4. Resignation Acceptance Mail from Previous Organization

JOB DESCRIPTION

Key Responsibilities:

Application Development: Design, develop, and maintain robust applications using Java, Spring, Spring Boot, Microservices, Hibernate, REST API, and Oracle SQL.

Spring Validation & Security: Implement input validation and manage secure access to resources using Spring Security.

Collaboration: Work hand-in-hand with cross-functional teams to define, design, and deliver innovative features.

Performance Optimization: Ensure peak performance, quality, and responsiveness of applications.

Problem Solving: Identify bottlenecks and bugs, and craft effective solutions.

Code Quality: Maintain high standards of code quality, organization, and automation.

Skills and Qualifications:

Experience: 5+ years in Java development.

Technical Proficiency: Expert in Java, Spring, Spring Boot, Microservices, Hibernate, REST API, Oracle SQL, and Spring Security.

Banking Domain Knowledge: Experience in payment gateway projects is a plus.

Design Patterns: Strong understanding of object-oriented programming and design patterns.

Problem Solver: Excellent analytical skills and ability to thrive in a fast-paced environment.

Apply only to this link - https://loginext.hire.trakstar.com/jobs/fk01is7?source=" target="_blank">https://loginext.hire.trakstar.com/jobs/fk01is7?source=

LogiNext is looking for a technically savvy and experienced senior engineer to lead development efforts. You will help the team grow in size and skills, optimizing their code while working on your own. You will design, and develop the products that exceed client expectations in terms of value and benefit. You will collaborate on scalability issues involving access to massive amounts of data and information.

You have hands-on experience in building secure, high-performing and scalable systems in Java. Your design intuition inclines towards usability, elegance and simplicity. You are biased towards open-source tools and existing frameworks. You have successfully shipped applications with beautiful front-end and intelligent backend. You have demonstrated strong interpersonal and communication skills.

Responsibilities

Co-lead end-to-end design and development efforts for high-volume, low-latency applications for real-time event based systems Lead and direct software engineers, define software architecture, collaborate with other teams to explore existing systems, determine areas of complexity and potential risks to successful implementation of platform modules and features Deliver high-availability and high-performance platform using micro-services architecture Identify bottlenecks and inefficiencies in code, and devise solutions to production and non-production issues Keep an eye out for open source projects and technology trends that can be introduced in the products Transform business functionalities and production specifications into technical requirements and low level design Be hands-on, adopt a practical approach to software and technology Work with product management and other teams to build highly scalable products

Requirements

Bachelor’s degree in Computer Science, Information Technology or a related field 4 to 6 years of design and development experience in scalable and distributed enterprise applications using Java/J2EE, JPA, Spring boot framework and RESTful web services Experience in managing, implementing and optimizing big data stores such as MySQL, MongoDB, Elasticsearch, Redis, DynamoDB Experience in deploying applications and using various managed services provided by cloud platforms (AWS, Azure, GCP) Experience in front-end technologies HTML5, CSS3, React.js, Angular and D3.js is preferred Strong foundation in computer science, with strong competencies in data structures, algorithms and software design Proven ability to drive large scale projects with deep understanding of Agile SDLC, high collaboration and leadership

BRIEF DESCRIPTION:

At-least 1 year of Python, Spark, SQL, data engineering experience

Primary Skillset: PySpark, Scala/Python/Spark, Azure Synapse, S3, RedShift/Snowflake

Relevant Experience: Legacy ETL job Migration to AWS Glue / Python & Spark combination

ROLE SCOPE:

Reverse engineer the existing/legacy ETL jobs

Create the workflow diagrams and review the logic diagrams with Tech Leads

Write equivalent logic in Python & Spark

Unit test the Glue jobs and certify the data loads before passing to system testing

Follow the best practices, enable appropriate audit & control mechanism

Analytically skillful, identify the root causes quickly and efficiently debug issues

Take ownership of the deliverables and support the deployments

REQUIREMENTS:

Create data pipelines for data integration into Cloud stacks eg. Azure Synapse

Code data processing jobs in Azure Synapse Analytics, Python, and Spark

Experience in dealing with structured, semi-structured, and unstructured data in batch and real-time environments.

Should be able to process .json, .parquet and .avro files

PREFERRED BACKGROUND:

Tier1/2 candidates from IIT/NIT/IIITs

However, relevant experience, learning attitude takes precedence

1)Working on Product content to make relatable posters.

2)Basic editing skills ( Adobe/Corel Draw/any other editing tool)

3)Engaging in editing the Brochures and other product related templates

4)Working on adding basic graphics and highlights.

5)Working closely with the brand marketing team to ideate on content and story telling.

6)Working on developing product content outlines and story boards

7)Creating unique, original and quality content.

8)Flexible and open to make changes.

9)Professional Approach to details, time and deadlines.

Required Skills:

1. Strong BA with presentation skills
2. US Customer Engagement experience
3. Self-driven – should be able to independently work towards the business objective.
4. Should have past experience of program management
5. Strong communication skills.
6. Must be flexible to work in overlapping times with US PST timezone.

We are building a workspace for Marketing teams - Think Webflow for Marketing teams, Grafana for Marketing teams who operate on large data sets and need a clear intuitive interface to look at all their data.

Traditionally Marketing teams have always had to depend on a large BI team to provide them with the data they need to make decisions. Clarisights eliminates this by giving Marketing teams everything they need in one intuitive, collaborative reporting platform.

We work with large enterprise Marketing teams around the world like Delivery Hero - The world's largest food delivery co., HelloFresh the world's largest mealkits delivery co. etc.

Our platform is central to how business teams make decisions and you will work on the interface that these teams use. We are helping non technical business users get comfortable with data by giving them a platform they can use to drive.

What makes this role challenging? Think Google Docs, Slides and Sheets all combined in one platform. We have a collaborative text editor which is used by teams together and we built our table grid which is extremely powerful. Tables, being one of the heaviest and most used widgets we have, have records composed of metric data(averages, share percentages, comparison data), multiple creatives(images, videos, gifs), trends(charts inside each cell) and a lot more.

The huge amount of data points naturally increases the amount of DOM nodes and thus it becomes memory heavy and CPU intensive to run the app in the browser. One table can have 500 records that the users can scroll through at once. Now imagine having 10+ of such tables in one tab, and each report comprising of multiple tabs. And we also support features like drilldowns/breakdowns, column freezing, row freezing, in the tables all while ensuring a smooth user experience.

We decided to build it from scratch using React Virtualize since most table libraries did not give us the performance or features we need. We also extensively use charts to visualize data and as we are scaling, a lot of these components have to be rebuilt to handle the volume of data we process.

We are only getting started, we want to make our platform a lot more collaborative and immersive by giving teams ability to interact with charts by adding annotations and ability to tag team members and leave notes for them. This might seem a solved problem when you look at collaboration on Google Docs but it's an extremely tricky problem for us as we don't deal with static data the way you have it with Google Docs.

Unlike read only dashboards which do not allow edits after building, our platform is meant for collaboration within teams. Think of how shitty collaboration was for design teams before Figma.

We are looking for someone who obsesses over performance and is comfortable with profiling performance, can think of frontend architecture. We are also looking for a lead who can mentor the team on performance and scale.

While working with such complex interfaces, often times, performance and the tech becomes a bottleneck for the user experience we strive for. We are looking for someone who —

• Understands fundamentals of Application Design and has designed/architected applications from scratch.
• Has worked on large-scale applications, and setup/maintained its data pipelines (data flows from backend to frontend)
• Has architected efficient and reusable front-end systems that drive complex web applications

• 3+ years of JavaScript experience, including concepts like asynchronous programming, closures, types.
• HTML/CSS experience, including concepts like layout, specificity, cross browser compatibility, and accessibility
• Experience with browser APIs and optimizing frontend performance
• Previous experience with dashboard apps, charts framework, window virtualisation
• Has written Generators for project setup
• Comfortable with tech like Postgres, Docker, Rails
• Understands tooling like Webpack, Babel

Experience with React and Typescript is preferable but not necessary.

• Understanding the data flow and familiarise oneself with the app components
• One feature/task like updating something that touches majority of the app — this is again aimed to get familiarity with the whole codebase in the quickest way
• Synchronising the data pipelines by adopting better serialisation protocols
• Creating avenues to improve app performance (by profiling and benchmarking)