Digital Marketing | Help us reach to Digital India

Job Description:

We are seeking an experienced Java Back-end Developer to join our team. The ideal candidate

will be responsible for designing, developing, and maintaining robust and scalable back-end

solutions using Java and related technologies. The Back-end Developer will work closely with

cross-functional teams to deliver high-quality software solutions that meet our business needs.

Responsibilities:

 Design, develop, and maintain Java-based back-end applications, services, and APIs.

 Write efficient, reusable, and well-documented code following industry best practices

and coding standards.

 Collaborate with front-end developers, product managers, and other stakeholders to

understand requirements and translate them into technical solutions.

 Implement and maintain database schemas, write complex SQL queries, and optimize

database performance using Oracle SQL.

 Develop and consume RESTful web services to enable seamless integration with

external systems.

 Utilize Spring framework and its various modules (e.g., Spring Boot, Spring Batch) for

building enterprise-level applications.

 Manage project dependencies and build processes using Maven.

 Work with version control systems such as Git for code management and collaboration.

 Perform unit testing, integration testing, and debugging to ensure the quality and

reliability of back-end components.

 Stay updated on emerging technologies, trends, and best practices in back-end

development.

Additional Requirements:

 Strong knowledge of application servers such as Tomcat and WebLogic.

 Experience with continuous integration tools such as Jenkins.

 Familiarity with automated testing frameworks such as JUnit.

 Understanding of authentication and authorization mechanisms, including OAuth.

 Knowledge of SOAP web services and related technologies.

Requirements:

 Bachelor's degree in Computer Science, Engineering, or a related field.

 5 Plus years of experience in Java back-end development.

 Proficiency in Java programming language and related frameworks (e.g., Spring, Spring

Boot, Spring Batch).

 Strong understanding of object-oriented programming principles, data structures, and

algorithms.

 Experience with Oracle SQL and database design principles.

 Familiarity with RESTful web services and API development.

 Experience with build tools such as Maven.

 Knowledge of version control systems, particularly Git.

 Strong problem-solving skills and attention to detail.

 Excellent communication and collaboration skills.

 Ability to work effectively in a fast-paced, agile environment.

Preferred Qualifications:

 Experience with other databases such as MySQL, PostgreSQL, or MongoDB.

 Familiarity with continuous integration/continuous deployment (CI/CD) pipelines.

 Understanding of software development best practices and design patterns.

LambdaTest is a cloud-based testing platform aimed at bringing the whole testing ecosystem to cloud. LambdaTest provides access to a powerful cloud network of 2000+ real browsers and operating system that helps testers in cross-browser and crossplatform compatibility testing. The product roadmap is evolving and there are many more functionalities and features which will be added to the product. The company is backed by the Tier 1 VC funds and entrepreneurs of the industry. We are growing at a fantastic rate. This is an incredible opportunity for someone talented and ambitious to make a huge impact.

Role

• Develop & maintain shared APIs, libraries and frameworks
• Improve the performance and reliability of our services including databases, CI/CD pipeline, web services, and other integrations
• Monitor and scale our cloud infrastructure
• Collaborate with other teams on security, automation, and internal tools
• Evaluate and develop new tools and technologies that can help achieve company-level goals

Required Candidate profile

• 4 - 8 years of experience in Development.
• Should have good knowledge of backend Technologies like Python, Nodejs, Golang.
• Should have worked with Databases like Mysql, monogdb etc.
• Should have working experience in cloud environment.
• Engineering degree in computer science, engineering or related discipline from good institutes

                                               Sr. Data Engineer

Company Profile:

Bigfoot Retail Solutions [Shiprocket] is a logistics platform which connects Indian eCommerce SMBs with logistics players to enable end to end solutions.

Our innovative data backed platform drives logistics efficiency, helps reduce cost, increases sales throughput by reducing RTO and improves post order customer engagement and experience.

Our vision is to power all logistics for the direct commerce market in India

including first mile, linehaul, last mile, warehousing, cross border and O2O.

Position: Sr.Data Engineer

Team : Business Intelligence

Location: New Delhi

Job Description:

We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Key Responsibilities:

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centres and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications for Data Engineer

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Requirements

Responsibilities

Hiring Process

• Analyzing, planning and developing requirements and standards in reference to scheduled projects
• Assigning and overseeing the daily tasks of technical personnel while ensuring all subordinates are actively working toward established milestones
• Holding regular technical team meetings to determine progress and addressing any questions or challenges regarding projects
• Determining and defining clear deliverables, roles and responsibilities for staff members required for specific projects or initiatives
• Researching and evaluating hardware and software technology options and weighing the cost/ benefit analysis when making large purchases on behalf of the company
• Updating and maintaining all production technologies ensuring proper maintenance and installation

Desired Candidate Profile

• Bachelor’s degree in engineering, computer science or related field or equivalent work experience
• Minimum 2 yrs management experience in consumer hardware/ software products (TWS, HeadPhone, Smart Watch), including development work and interactions with customers
• Extensive leadership experience and strong teaming abilities
• Excellent problem-solving skills
• Demonstrated understanding of Project Management processes, strategies and methods
• Experience mentoring, coaching and developing rising talent in the technology department
• Excellent time management and organizational skills and experience establishing guidelines in these areas for others
• Strong sense of personal accountability regarding decision-making and supervising department teams
• Experience working in a high-level collaborative environment and promoting a teamwork mentality
• Managerial experience applying analytical thinking and problem-solving skills
• Ability to predict challenges and seek to proactively head-off obstacles