Business Development Specialist

Profile - Databricks Developer

Experience- 5+ years

Location- Bangalore (On site)

PF & BGV is Mandatory

Job Description: -

* Design, build, and optimize data pipelines and ETL/ELT workflows using Databricks and

Apache Spark (PySpark).

* Develop scalable, high performance data solutions using Spark distributed processing.

* Lead engineering initiatives focused on automation, performance tuning, and platform

modernization.

* Implement and manage CI/CD pipelines using Git-based workflows and tools such as

GitHub Actions or Jenkins.

* Collaborate with cross-functional teams to translate business needs into technical

solutions.

* Ensure data quality, governance, and security across all processes.

* Troubleshoot and optimize Spark jobs, Databricks clusters, and workflows.

* Participate in code reviews and develop reusable engineering frameworks.

* Should have knowledge of utilizing AI tools to improve productivity and support daily

engineering activities.

* Strong knowledge and hands-on experience in Databricks Genie, including prompt

engineering, workspace usage, and automation.

Required Skills & Experience:

* 5+ years of experience in Data Engineering or related fields.

* Strong hands-on expertise in Databricks (notebooks, Delta Lake, job orchestration).

* Deep knowledge of Apache Spark (PySpark, Spark SQL, optimization techniques).

* Strong proficiency in Python for data processing, automation, and framework

development.

* Strong proficiency in SQL, including complex queries, performance tuning, and analytical

functions.

* Strong knowledge of Databricks Genie and leveraging it for engineering workflows.

* Strong experience with CI/CD and Git-based development workflows.

* Proficiency in data modeling and ETL/ELT pipeline design.

* Experience with automation frameworks and scheduling tools.

* Solid understanding of distributed systems and big data concepts

Job Description

Managing a portfolio of SME clients, monitoring their insurance needs, and

proactively engaging with them to ensure client satisfaction and retention. 

Developing and maintaining strong relationships with SME clients, understanding

their business needs, and providing personalized service. 

Identifying and pursuing new business opportunities within the SME sector to grow

the insurance company's client base and revenue. 

Ensuring smooth and efficient service delivery to SME clients, addressing their

queries and concerns promptly.

Managing a portfolio of SME clients, monitoring their insurance needs, and

proactively engaging with them to ensure client satisfaction and retention.

Selling insurance products and services to SMEs, as well as cross-selling other

relevant financial products offered by the company 

Working with internal teams and customer service, to facilitate seamless service

delivery to SME clients. 

Skills and Qualifications:

 Excellent communication, interpersonal, and negotiation skills. 

 Proven track record of achieving sales targets and identifying new business

opportunities. 

 Understanding of various insurance products and policies relevant to SMEs. 

 Providing customer service and building long-term relationships. 

 Well Experienced & Familiarity with the unique needs and challenges of SME

businesses. 

 Bachelor’s Degree.

Job Title: AWS Devops Engineer – Manager Business solutions

Location: Gurgaon, India

Experience Required: 8-12 years

Industry: IT

We are looking for a seasoned AWS DevOps Engineer with robust experience in AWS middleware services and MongoDB Cloud Infrastructure Management. The role involves designing, deploying, and maintaining secure, scalable, and high-availability infrastructure, along with developing efficient CI/CD pipelines and automating operational processes.

Key Deliverables (Essential functions & Responsibilities of the Job):

·         Design, deploy, and manage AWS infrastructure, with a focus on middleware services such as API Gateway, Lambda, SQS, SNS, ECS, and EKS.

·         Administer and optimize MongoDB Atlas or equivalent cloud-based MongoDB solutions for high availability, security, and performance.

·         Develop, manage, and enhance CI/CD pipelines using tools like AWS CodePipeline, Jenkins, GitHub Actions, GitLab CI/CD, or Bitbucket Pipelines.

·         Automate infrastructure provisioning using Terraform, AWS CloudFormation, or AWS CDK.

·         Implement monitoring and logging solutions using CloudWatch, Prometheus, Grafana, or the ELK Stack.

·         Enforce cloud security best practices — IAM, VPC setups, encryption, certificate management, and compliance controls.

·         Work closely with development teams to improve application reliability, scalability, and performance.

·         Manage containerized environments using Docker, Kubernetes (EKS), or AWS ECS.

·         Perform MongoDB administration tasks such as backups, performance tuning, indexing, and sharding.

·         Participate in on-call rotations to ensure 24/7 infrastructure availability and quick incident resolution.

Knowledge Skills and Abilities:

·         7+ years of hands-on AWS DevOps experience, especially with middleware services.

·         Strong expertise in MongoDB Atlas or other cloud MongoDB services.

·         Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or AWS CDK.

·         Solid experience with CI/CD tools: Jenkins, CodePipeline, GitHub Actions, GitLab, Bitbucket, etc.

·         Excellent scripting skills in Python, Bash, or PowerShell.

·         Experience in containerization and orchestration: Docker, EKS, ECS.

·         Familiarity with monitoring tools like CloudWatch, ELK, Prometheus, Grafana.

·         Strong understanding of AWS networking and security: IAM, VPC, KMS, Security Groups.

·         Ability to solve complex problems and thrive in a fast-paced environment.

Preferred Qualifications

·         AWS Certified DevOps Engineer – Professional or AWS Solutions Architect – Associate/Professional.

·         MongoDB Certified DBA or Developer.

·         Experience with serverless services like AWS Lambda, Step Functions.

·         Exposure to multi-cloud or hybrid cloud environments.

Mail updated resume with current salary-

Email: etalenthire[at]gmail[dot]com

Satish; 88O 27 49 743

Are you a motivated individual eager to launch your career in generative AI and learn advanced technologies? Are you a hands-on learner with an interest in large language models and emerging AI technologies? Do you possess the ability to collaborate effectively within a team environment to implement and learn technical solutions?

At Aivar, we're looking for entry-level architects and engineers to learn generative AI techniques and contribute to building innovative solutions under the guidance of experienced professionals.

As an Generative AI/ML Engineer, you'll learn from technology and business teams while developing solutions. You will gain hands-on experience in a fast-paced environment that contributes to innovative AI projects.

Key job responsibilities:

● Learn to implement large language model solutions using Amazon Web Services (AWS)

● Learn Generative AI frameworks (LangChain, LangSmith, HuggingFace)

● Support prompt engineering implementation

● Assist in fine-tuning pipelines for specific use cases

● Learn to build basic generative AI solutions for text and images

● Help implement RAG architectures

● Support MLOps/LLMOps practices

● Document implementations and learnings

● Assist in testing generative AI solutions

Talent Acquisition Role Responsibilities are given below:

Building Talent Pool

• Determining the current staffing needs of an organization

• Lead the sourcing strategy to identify the potential talent

• Identify and manage the external sourcing partners

• Responsible of hiring Top management hiring

• Identify the process gaps and reengineer the process as and when required

• Devising the technical assessment for selection procedure for various roles

• Creating a salary benchmarks and manage consistency for all the roles/locations

• Should make sure that the salary proposal are well within the defined budgets

• Creating a pool of blacklisted companies and employees whom the organization

• should refrain from hiring and vice versa

• Collaborating with the Department Heads and Divisional heads to identify the

• Challenges and resolutions

• Expertise in head hunting of candidates

• Should plan for reduction of drop out % rate

• Responsible for incorporating best industry practices for recruitment

• Ensure the reduction in early attrition

• Create a potential pipeline for future hiring

Sourcing Strategy

• Identify the right source of recruitment mix for the company

• Proactively connecting with prospective institute and organization for hiring such as

• Campus Recruitment, Job Portal, Ads, Contract Hiring, Offline Hiring, Consultancy

• Promoting the Kinara Brand amongst all stakeholders

Vendor Management

• Right consultant for right role

• Identifying the right vendor for every specialized roles and skills

HO & Field Hiring

• Recruitment & Onboarding for all the levels

BGV

• Neatly we do the BGV, strongly, oral or through IDFY

Pipeline Creation

• Creating the talent pool as a backup

• Strategy to reduce the early attrition

• Strategies to screen the right profiles, less rejection

Budgeting

• Ensure budget and cost optimization of the organization

HRMS

• How effectively the usage of HRMS in place by reducing the manual efforts

Other Requirements:

• Similar Industry market knowledge

• Team handling experience

• Have worked in the strategical capacity

Skills and Competencies:

Technical Skills

• Data Analysis and Reporting

• Have prior experience in handling HRMS tool

• Stakeholders Management

• Excellent in Analytics

Soft Skills

• Resourcefulness

• People Management

• Communication

• Time management

• Team management

As a web application developer, your job is to program frontend modules and applications. We are looking for someone with expertise and experience in designing, developing and testing web applications including new developments, enhancements, maintenance and support. The role involves continuous collaboration with team, partners.

Responsibility

• Building interactive consumer data from multiple systems and RESTfully abstract to the UI using React JS ( javascript and typescript)  through a Node.js backend
• Create Unit and Integration tests to ensure the quality of code
• Address and improve any technical issues
• Ability to translate Wireframes and PSD Designs into functional web apps
• Be responsive to change requests and feature requests
• Write code that is cross-platform and cross-device compatible
• Strong commitment to quality and delivery
• Collaborate well with engineers, and specialists to design and create advanced, elegant and efficient system

Requirements: 

• Experience creating front end applications using HTML, React JS
• Database – MongoDB, SQL
• Fluent knowledge of latest HTML/CSS standards and best practices
• Experience building Responsive websites for web, tablet and mobile device
• Obsession with lean, clean and organized code
• Solid Understanding of HTTP protocol and how server-side code is processed on the client
• Knowledge of the following will be considered as an advantage

Consumer Web Development Experience for High-Traffic, Public Facing web applications

Experience with cloud technologies also a plus

Creating Unit test cases

Typescript

• Key responsibility is to design, develop & maintain efficient Data models for the organization maintained to ensure optimal query performance by the consumption layer.
• Developing, Deploying & maintaining a repository of UDXs written in Java / Python.
• Develop optimal Data Model design, analyzing complex distributed data deployments, and making recommendations to optimize performance basis data consumption patterns, performance expectations, the query is executed on the tables/databases, etc.
• Periodic Database health check and maintenance
• Designing collections in a no-SQL Database for efficient performance
• Document & maintain data dictionary from various sources to enable data governance
• Coordination with Business teams, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc
• Data Governance Process Implementation and ensuring data security

Requirements

• Extensive working experience in Designing & Implementing Data models in OLAP Data Warehousing solutions (Redshift, Synapse, Snowflake, Teradata, Vertica, etc).
• Programming experience using Python / Java.
• Working knowledge in developing & deploying User-defined Functions (UDXs) using Java / Python.
• Strong understanding & extensive working experience in OLAP Data Warehousing (Redshift, Synapse, Snowflake, Teradata, Vertica, etc) architecture and cloud-native Data Lake (S3, ADLS, BigQuery, etc) Architecture.
• Strong knowledge in Design, Development & Performance tuning of 3NF/Flat/Hybrid Data Model.
• Extensive technical experience in SQL including code optimization techniques.
• Strung knowledge of database performance and tuning, troubleshooting, and tuning.
• Knowledge of collection design in any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc), along with implementation of best practices.
• Ability to understand business functionality, processes, and flows.
• Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently.
• Any OLAP DWH DBA Experience and User Management will be added advantage.
• Knowledge in financial industry-specific Data models such as FSLDM, IBM Financial Data Model, etc will be added advantage.
• Experience in Snowflake will be added advantage.
• Working experience in BFSI/NBFC & data understanding of Loan/Mortgage data will be added advantage.

Functional knowledge

• Data Governance & Quality Assurance
• Modern OLAP Database Architecture & Design
• Linux
• Data structures, algorithm & data modeling techniques
• No-SQL database architecture
• Data Security

• Exp- 3+ yrs
• Must be very good in Java- 2.5+ yrs
• At least 1 yr of working experience in any one DB of Neo4j, Cassandra, Elastic Search
• Should have good devops working knowledge - Knowledge of AWS, Ansibleetc is a necessity
• Experience in TDD/BDD is required
• Minimum 1 yr working experience in Samza& Kafka.
• Knowledge of Azure is added advantage
• Understanding of AKKA and Play framework