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🚀 Job Title : Backend Engineer (Go / Python / Java)

Experience : 3+ Years

Location : Bangalore (Client Location – Work From Office)

Notice Period : Immediate to 15 Days

Open Positions : 4

Working Days : 6 Days a Week

🧠 Job Summary :

We are looking for a highly skilled Backend Engineer to build scalable, reliable, and high-performance systems in a fast-paced product environment.

You will own large features end-to-end — from design and development to deployment and monitoring — while collaborating closely with product, frontend, and infrastructure teams.

This role requires strong backend fundamentals, distributed systems exposure, and a mindset of operational ownership.

⭐ Mandatory Skills :

Strong backend development experience in Go / Python (FastAPI) / Java (Spring Boot) with hands-on expertise in Microservices, REST APIs, PostgreSQL, Redis, Kafka/SQS, AWS/GCP, Docker, Kubernetes, CI/CD, and strong DSA & System Design fundamentals.

🔧 Key Responsibilities :

• Design, develop, test, and deploy backend services end-to-end.
• Build scalable, modular, and production-grade microservices.
• Develop and maintain RESTful APIs.
• Architect reliable distributed systems with performance and fault tolerance in mind.
• Debug complex cross-system production issues.
• Implement secure development practices (authentication, authorization, data integrity).
• Work with monitoring dashboards, alerts, and performance metrics.
• Participate in code reviews and enforce engineering best practices.
• Contribute to CI/CD pipelines and release processes.
• Collaborate with product, frontend, and DevOps teams.

✅ Required Skills :

• Strong proficiency in Go OR Python (FastAPI) OR Java (Spring Boot).
• Hands-on experience building Microservices-based architectures.
• Strong understanding of REST APIs & distributed systems.
• Experience with PostgreSQL and Redis.
• Exposure to Kafka / SQS or other messaging systems.
• Hands-on experience with AWS or GCP.
• Experience with Docker and Kubernetes.
• Familiarity with CI/CD pipelines.
• Strong knowledge of Data Structures & System Design.
• Ability to independently own features and solve ambiguous engineering problems.

⭐ Preferred Background :

• Experience in product-based companies.
• Exposure to high-throughput or event-driven systems.
• Strong focus on code quality, observability, and reliability.
• Comfortable working in high-growth, fast-paced environments.

🧑‍💻 Interview Process :

• 1 Internal Screening Round
• HR Discussion (Project & Communication Evaluation)
• 3 Technical Rounds with Client

This is a fresh requirement, and interviews will be scheduled immediately.

DataHavn IT Solutions is a company that specializes in big data and cloud computing, artificial intelligence and machine learning, application development, and consulting services. We want to be in the frontrunner into anything to do with data and we have the required expertise to transform customer businesses by making right use of data.

About the Role:

As a Data Scientist specializing in Google Cloud, you will play a pivotal role in driving data-driven decision-making and innovation within our organization. You will leverage the power of Google Cloud's robust data analytics and machine learning tools to extract valuable insights from large datasets, develop predictive models, and optimize business processes.

Key Responsibilities:

• Data Ingestion and Preparation:
• Design and implement efficient data pipelines for ingesting, cleaning, and transforming data from various sources (e.g., databases, APIs, cloud storage) into Google Cloud Platform (GCP) data warehouses (BigQuery) or data lakes (Dataflow).
• Perform data quality assessments, handle missing values, and address inconsistencies to ensure data integrity.
• Exploratory Data Analysis (EDA):
• Conduct in-depth EDA to uncover patterns, trends, and anomalies within the data.
• Utilize visualization techniques (e.g., Tableau, Looker) to communicate findings effectively.
• Feature Engineering:
• Create relevant features from raw data to enhance model performance and interpretability.
• Explore techniques like feature selection, normalization, and dimensionality reduction.
• Model Development and Training:
• Develop and train predictive models using machine learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, neural networks) on GCP platforms like Vertex AI.
• Evaluate model performance using appropriate metrics and iterate on the modeling process.
• Model Deployment and Monitoring:
• Deploy trained models into production environments using GCP's ML tools and infrastructure.
• Monitor model performance over time, identify drift, and retrain models as needed.
• Collaboration and Communication:
• Work closely with data engineers, analysts, and business stakeholders to understand their requirements and translate them into data-driven solutions.
• Communicate findings and insights in a clear and concise manner, using visualizations and storytelling techniques.

Required Skills and Qualifications:

• Strong proficiency in Python or R programming languages.
• Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Cloud Dataproc, and Vertex AI.
• Familiarity with machine learning algorithms and techniques.
• Knowledge of data visualization tools (e.g., Tableau, Looker).
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Strong communication and interpersonal skills.

Preferred Qualifications:

• Experience with cloud-native data technologies (e.g., Apache Spark, Kubernetes).
• Knowledge of distributed systems and scalable data architectures.
• Experience with natural language processing (NLP) or computer vision applications.
• Certifications in Google Cloud Platform or relevant machine learning frameworks.

Candidates must be from a publication/media background.

Team management experience is required.

Candidate must have worked on high-traffic websites.

Proficiency in using top industry SEO tools is a must. ( including Google Search Console, Screaming Frog, Botify, and Ahrefs. ).

Must have experience in doing regular website technical audits.

Strong knowledge of Schema.org, HTML, CSS, JavaScript, HTTP status codes, and web standards is required.

Mandatory Criteria

• Looking for candidates from Bangalore and NP less than or equal to 20 days
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 6+ years of experience in quality assurance or software testing, with at least 3 years focused on test automation and 2+ years in a leadership or senior role.
• Solid knowledge of SQL Experience in architecting and implementing automated testing frameworks . Strong in programming/scripting languages such as Python, Java, or JavaScript for automation development.
• Expertise with automation tools like Selenium, Playwright, Appium, or RestAssured, and integrating them into CI/CD workflows.
• Proven leadership skills, including mentoring junior engineers and managing team deliverables in an agile environment.
• Experience with test management tools (e.g., TestRail, qTest) and defect tracking systems (e.g., Jira).
• Deep understanding of testing best practices, including functional, regression, performance, and security testing.
• Ability to analyze system architecture and identify key areas for test coverage and risk mitigation.
• Experience with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS preferred). Understanding of performance, security, and load testing tools (e.g., JMeter, OWASP ZAP).
• Familiarity with observability and monitoring tools (e.g., ELK Stack, Datadog, Prometheus, Grafana) for test environment analysis.

If interested kindly share your updated resume on 82008 31681

Roles and Responsibilities

• Managing available resources such as hardware, data, and personnel so that deadlines are met.
• Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities
• Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Defining validation framework and establish a process to ensure acceptable data quality criteria are met
• Supervising the data acquisition and partnership roadmaps to create stronger product for our customers.
• Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market
• Device self-learning strategies through analysis of errors from the models
• Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.
• Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner.
• Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members.

Preferred Technical & Professional expertise

• Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields
• At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning
• In-depth knowledge of cloud analytics tools.
• Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes
• Ability to evaluate hardware selection for running ML models for optimal performance
• Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines.
• Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning
• Deep analytical thinking with excellent problem-solving abilities
• Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.
• Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders
• Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously.
• Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards

• Monitoring business metrics on a weekly basis- % repeat, CAC, LTV, ROAS, ACOS, etc
• Liaising with the brand marketing team to identify the appropriate target audience for particular ad campaigns
• Developing and managing digital prospecting and remarketing campaigns
• Managing budgets and campaigns across all digital channels to drive strong return on investment and efficient CAC
• Ensuring successful planning, execution, optimization for key traffic KPIs via paid, organic & own media channels
• Identifying and testing new channels to continue to meet or exceed established critical metrics
• Working closely with the management to share funnel conversion improvement ideas, feedback & present results

Desired Candidate Profile

• 6+ yrs digital performance marketing experience ideally in the FMCG space
• Familiarity with Facebook Business Manager, Google Adwords, analytics, and Instagram    

We're looking for a Performance Marketer to drive our strategic product and technology vision on the growth and platform side of products. Evaluate the customer touch-points and growth levers in our onboarding product. Define, drive and modify traffic and growth metrics for the organization. Be responsible for building and executing new initiatives and roadmaps. Manage product lifecycle from ideation to launch and beyond. Salary up to 35 LPA

🙋What makes you a good fit?

• Minimum 2 years of experience working on building products or problem-solving in a B2B domain.
• Relevant product experience in growth products, onboarding journeys, retention and engagement journeys
• The drive to build products with an insight-first approach but at the same time a track record of boldly pursuing intuitions and validating them via experimental outcomes.
• Data orientation, analytical skills, and an ability to interpret everything in terms of measurement.
• Comfort with ambiguity, belief in first principles, and the skill to transform broad ideas into action plans via high bias for action
• Unnoticeable cross-functional stakeholder management.
• Business acumen to appreciate and understand levers for business growth and profitability.
• Preference to work independently.

• Responsible for planning and executing SAP Implementation / Development / Support activities regarding SAP Finance and Controlling (FI-CO) specifically in the Treasury module.
• Understand client requirements, provide solutions, functional specifications and configure the system accordingly.
• Ability to create presentation/workshop decks for Blueprint that need to be conveyed and be able to present them to the client.
• Ability to create Process Flows in Microsoft Visio’s for the client’s proposed business processes.
• Ability to create Process Definition Document / Design Document (PDD), Business Design Documents (BDD) and Business Process Procedure (BPP) for the solutions provided.
• Ability to configure SAP FI-CO (Finance and Controlling) Treasury module and deliver work products / packages conforming to the Client's Standards & Requirements.
• Strong configuration hands on experience in FI - Treasury module.
• Integration of the FI-Treasury module with other SAP modules and with external applications.
• In addition to the above the candidate should have been involved in the following during the life cycle of SAP implementation:
• Unit Testing, Cycle Testing
• Integration Testing
• User Manual Preparation
• User Support activities
• Exposure to ASAP and other structured implementation methodologies
• Regularly interact with the onsite team/client
• Provide status updates in daily/weekly conference calls
• Maintain cordial relationship with onsite team/client

Skills/Experience Requirements:

• 3 to 6 years of functional domain experience and 3 to 6 years of working on the FI-CO module in SAP implementation projects
• Minimum one end-end implementation experience in version 4.7 upwards. ECC 6 would be a plus
• Hands on experience in configuring / defining the following in the FI-Treasury module:
• Cash Management
• Cash Position
• Liquidity forecast
• Fixed Term deposits
• Forward rate agreement
• Trading with fixed & variable bonds & stocks
• Cross currency interest swap
• Creation, Execution, Processing, Posting & settlement of the above orders
• Should have good written and oral communication skills
• Must be a good team player
• Familiarity on the basic business processes with the following

• SAP FI - GL/AP/AR/AA
• SAP CO - CC/PA/IO

NICE TO HAVE

• SAP Certification on FI-Treasury Module
• Used Solution Manager in the implementation
• Worked on integration with other ECC modules
• Training / Awareness on Net Weaver Components
• Team Leading Experience would be added advantage
• Exposure to interfaces like ALE/IDOC or EDI/IDOC with little technical knowledge

EXP-Developer-4 to 12 years

         Must have low-level design and development skills.  Should able to design a solution for given use cases. 

• Agile delivery-  Person must able to show design and code on a daily basis
• Must be an experienced PySpark developer and  Scala coding.   Primary skill is PySpark
• Must have experience in designing job orchestration, sequence, metadata design, Audit trail, dynamic parameter passing and error/exception handling
• Good experience with unit, integration and UAT support
• Able to design and code reusable components and functions
• Should able to review design, code & provide review comments with justification
• Zeal to learn new tool/technologies and adoption
• Good to have experience with Devops and CICD