11+ Equipment maintenance Jobs in Chennai | Equipment maintenance Job openings in Chennai

Key Responsibilities:

●    Design, develop, and maintain high-performance, scalable, and secure backend systems using Java.

●    Build and maintain RESTful APIs and microservices to support application functionality.

●    Collaborate closely with frontend developers to ensure smooth integration with React/Angular-based frontend systems.

●    Work with both relational databases (SQL) and NoSQL databases to design data schemas, optimize queries, and maintain data integrity.

●    Leverage cloud platforms (AWS, Azure, Google Cloud) to deploy, monitor, and scale applications.

●    Implement and maintain containerization using Docker and Kubernetes (K8S).

●    Write unit tests for both backend and frontend code to ensure code quality and reliability.

●    Participate in code reviews to maintain code quality standards and mentor junior developers.

●    Contribute to a culture of continuous improvement, proposing and driving best practices in backend development, testing, and deployment.

Required Skills And Experience

●    Bachelors or Masters in computer science or related fields.

●    5+ years of experience in backend development, with strong expertise in Java (must-have).

●    Solid experience with frontend frameworks such as React or Angular.

●    Hands-on experience with RESTful APIs, Docker, and NoSQL databases (such as MongoDB, Cassandra, etc.).

●    Strong experience with SQL databases (such as MySQL, PostgreSQL, etc.), including database design, optimization, and query writing.

●    Familiarity with cloud platforms (AWS, Azure, Google Cloud) and Kubernetes (K8S).

●    Experience in writing unit tests and understanding of test-driven development (TDD) principles.

●    Strong understanding of Agile/Scrum methodologies.

Nice to Have:

●    Exposure to Automation Testing Frameworks (e.g., Selenium, Cypress).

●    Experience working in a SaaS (Software as a Service) environment.

●    Knowledge of Agile/Scrum methodologies.

Position: AWS Data Engineer

Experience: 5 to 7 Years

Location: Bengaluru, Pune, Chennai, Mumbai, Gurugram

Work Mode: Hybrid (3 days work from office per week)

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and motivated AWS Data Engineer with 5–7 years of experience in building and optimizing data pipelines, architectures, and data sets. The ideal candidate will have strong experience with AWS services including Glue, Athena, Redshift, Lambda, DMS, RDS, and CloudFormation. You will be responsible for managing the full data lifecycle from ingestion to transformation and storage, ensuring efficiency and performance.

Key Responsibilities:

• Design, develop, and optimize scalable ETL pipelines using AWS Glue, Python/PySpark, and SQL.
• Work extensively with AWS services such as Glue, Athena, Lambda, DMS, RDS, Redshift, CloudFormation, and other serverless technologies.
• Implement and manage data lake and warehouse solutions using AWS Redshift and S3.
• Optimize data models and storage for cost-efficiency and performance.
• Write advanced SQL queries to support complex data analysis and reporting requirements.
• Collaborate with stakeholders to understand data requirements and translate them into scalable solutions.
• Ensure high data quality and integrity across platforms and processes.
• Implement CI/CD pipelines and best practices for infrastructure as code using CloudFormation or similar tools.

Required Skills & Experience:

• Strong hands-on experience with Python or PySpark for data processing.
• Deep knowledge of AWS Glue, Athena, Lambda, Redshift, RDS, DMS, and CloudFormation.
• Proficiency in writing complex SQL queries and optimizing them for performance.
• Familiarity with serverless architectures and AWS best practices.
• Experience in designing and maintaining robust data architectures and data lakes.
• Ability to troubleshoot and resolve data pipeline issues efficiently.
• Strong communication and stakeholder management skills.

Technical Skills:

• Ability to understand and translate business requirements into design.
• Proficient in AWS infrastructure components such as S3, IAM, VPC, EC2, and Redshift.
• Experience in creating ETL jobs using Python/PySpark.
• Proficiency in creating AWS Lambda functions for event-based jobs.
• Knowledge of automating ETL processes using AWS Step Functions.
• Competence in building data warehouses and loading data into them.

Responsibilities:

• Understand business requirements and translate them into design.
• Assess AWS infrastructure needs for development work.
• Develop ETL jobs using Python/PySpark to meet requirements.
• Implement AWS Lambda for event-based tasks.
• Automate ETL processes using AWS Step Functions.
• Build data warehouses and manage data loading.
• Engage with customers and stakeholders to articulate the benefits of proposed solutions and frameworks.

Job Description

• Bachelor’s degree in software engineering, computer science or similar program.
  . Need 2+ years of experience in Sales force who is technically strong and capable of providing solutions.
  · Minimum 2 years into SFDC CPQ implementations.
  · Strong written and spoken English language communication skills
  · Deep knowledge on Salesforce configuration including objects, fields, profiles, roles, workflows, approval processes, process builders, etc.
  · Strong knowledge of APEX, Visualforce and the Lightning platform development framework
  · Solid understanding of data migration tools and processes with regard to Salesforce
  · Solid experience and knowledge developing integrations with Salesforce using REST or SOAP for example.
  · Ability to clearly answer questions on the different design options available on the Salesforce platform and the trade off’s which exist between different approaches
  · Lightning Components, Rest API , Apex Best Practices, Strong enthusiasm to learn new domains and technologies.
  . Should be able to lead the team and guide the juniors during the implementation.

Technical Skills

• Facilitate business process reviews to identify client requirements and processes. Able to convert client requirements into Salesforce CPQ design, leveraging Best Practices and minimizing the need for custom development. Configure Salesforce CPQ and Sales Cloud solutions
  • Atleast 1+ CPQ full project end to end implementations experience
  • Extensive experience in integrating 3rd party apps to salesforce CPQ
  • Extensive experience in configuring QCP (Quote Calculator Plugin), Custom Actions, Custom Scripts, Advanced Grouping, Price Rules, Product Rules, Summary Variables, Designing of custom CPQ Advanced Quote templates, Product Bundles, Configuration attributes, Types of Discount Schedules, Pricing Models
  • CPQ Certification is an added advantage.

Work with a world-class fin-tech maverick that is focusing on creating a powerful future-focused infrastructure with sophistication and transparency.

Our client is a cross border payment platform started in 2014, with a vision to simplify the cross-border payments experience for consumers. It later expanded and scaled its offerings to meet the needs of SME’s, Financial Institutions, Enterprises, and other payment service providers. It is currently accessible in 90 countries dealing with 63 currencies, developing cutting-edge products and solutions that solve the most crucial problems in the FinTech space.

As a Manager/ Sr. Manager Talent Acquisition, you will be responsible for setting up and driving our core programs of sourcing talent and raising the bar of talent that comes to the company.

What you will do:

• Sourcing, engaging and recruiting mid to senior level hires for positions globally
• Owning hiring for Non Tech positions covering Business Development, Customer Success, Operations, Marketing, and G&A roles across multiple countries globally including the APAC, Europe and US regions.
• Partnering with hiring managers to execute on hiring plans
• Developing proactive sourcing strategies to engage and developing a pipeline of passive talent apart from active pool.
• Creating strong governance with hiring teams to identify trends within the market, strategizing on outreach approaches, and brainstorming creative search methods.
• Leveraging internal tools to build pipeline and engaging active and passive talents in the markets
• Focusing on diversity and inclusion hiring and ensuring a diverse candidate slate across all roles.
• Reporting on recruiting metrics and performance reports on a regular basis

Key Responsibilities:

• Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
• Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
• Innovate on projects by using new modeling techniques or tools.
• Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
• Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Skills:

• 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
• Experience in risk and credit scoring domains preferred