Manager – Finance and Accounts (CA- Direct Tax, AR)

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

Role: Azure Fabric Data Engineer

Experience: 5–10 Years

Location: Pune/Bangalore

Employment Type: Full-Time

About the Role

We are looking for an experienced Azure Data Engineer with strong expertise in Microsoft Fabric and Power BI to build scalable data pipelines, Lakehouse architectures, and enterprise analytics solutions on the Azure cloud.

Key Responsibilities

• Design & build data pipelines using Microsoft Fabric (Pipelines, Dataflows Gen2, Notebooks).
• Develop and optimize Lakehouse / Data Lake / Delta Lake architectures.
• Build ETL/ELT workflows using Fabric, Azure Data Factory, or Synapse.
• Create and optimize Power BI datasets, data models, and DAX calculations.
• Implement semantic models, incremental refresh, and Direct Lake/DirectQuery.
• Work with Azure services: ADLS Gen2, Azure SQL, Synapse, Event Hub, Functions, Databricks.
• Build dimensional models (Star/Snowflake) and support BI teams.
• Ensure data governance & security using Purview, RBAC, and AAD.

Required Skills

• Strong hands-on experience with Microsoft Fabric (Lakehouse, Pipelines, Dataflows, Notebooks).
• Expertise in Power BI (DAX, modeling, Dataflows, optimized datasets).
• Deep knowledge of Azure Data Engineering stack (ADF, ADLS, Synapse, SQL).
• Strong SQL, Python/PySpark skills.
• Experience in Delta Lake, Medallion architecture, and data quality frameworks.

Nice to Have

• Azure Certifications (DP-203, PL-300, Fabric Analytics Engineer).
• Experience with CI/CD (Azure DevOps/GitHub).
• Databricks experience (preferred).

Note: One Technical round is mandatory to be taken F2F from either Pune or Bangalore office

Role: Sr. Azure Data Engineer

Experience: 8–10 Years

Work Timings: 1:30 PM – 10:30 PM IST

Location: Bellandur Bengaluru (Work from Office)

Company: Chevron

Employment Type: 6- 12 months Contract

Role Overview

We are seeking an experienced Senior Data Engineer to design and deliver scalable cloud data solutions on Azure. The ideal candidate will have strong expertise in Databricks, PySpark, and modern data architectures, with exposure to energy domain standards like OSDU.

Key Responsibilities

• Architect and design robust Azure-based data solutions using Databricks, ADLS, and PaaS services
• Define and implement scalable data Lakehouse architectures aligned with OSDU standards
• Build and manage end-to-end data pipelines for batch and real-time processing using PySpark
• Establish data governance frameworks including metadata, lineage, security, and access control
• Implement DevOps best practices (CI/CD, Azure Pipelines, GitHub, automated deployments)
• Collaborate with stakeholders to translate business needs into technical solutions
• Develop and maintain architecture documentation, solution patterns, and standards
• Provide technical leadership and mentorship to engineering teams
• Optimize solutions for performance, cost, reliability, and security
• Ensure alignment with enterprise architecture and compliance standards
• Drive adoption of modular and reusable cloud data components

Required Skills & Qualifications

Core Technical Skills

• Azure Databricks, Apache Spark (PySpark), Delta Lake, Unity Catalog
• Azure Data Lake Storage (ADLS), Azure Data Factory, Synapse Analytics
• Strong experience in Python-based data engineering
• Data pipeline development (batch + real-time)

Architecture & Advanced Skills

• Data Lakehouse architecture and distributed systems
• Microservices, APIs, and integration frameworks
• OSDU (Open Subsurface Data Universe) or similar energy data models

DevOps & Tools

• CI/CD tools: Azure Pipelines, GitHub Actions
• Infrastructure as Code: Terraform or similar

Other Skills

• Data governance, security, compliance, and cost optimization
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management

Work Location: Chennai

Work Experience: 5 to 8 Years

• Experience in working with Core Java (Ver 11), Spring, Spring Boot, Hibernate, JSF or Primefaces, SQL
• Familiarity with working with Jasper, Rest API is added plus

• Design, develop, implement, and maintain java application phases, code, and software
• Programming, testing, and debugging
• Competence and comfort using multiple frameworks
• Ability to gather accurate requirements and work closely with stakeholders
• Strong attention to detail with the ability to identify errors 

• Graduate in Computer Science / Computer Applications / Engineering / Information Technology

Primary Requirements:

• Should be comfortable in doing coding in C#, ASP.NET Core, WCF.
• Should have knowledge of SQL Server.
• Comfortable in working with Angular 2+, Typescript, HTML, CSS.
• Should have experience 5+ years.
• Comfortable in working with source control GIT, TFS.

You would be a great if you have:
Clear and concise communication skills, meaning you can talk to your team, customers and well as the CTO or CEO.

• A bachelor’s / master’s degree in computer science and application.
• Knowledge of software testing includes unit, integration, and automation.
• Proficiency with basic word processing and presentation applications (i.e. MS Office: Word, Excel, PowerPoint) required. Knowledge of flow diagramming applications and collaboration platforms, (i.e. Visio, SharePoint) required.
• An understanding of health care laws in India and the U.S.
• An understanding of PHI and HIPAA.
• An understanding of clinical workflows, including dispensing and clinical monitoring
• An understanding of laws regulating the clinical practice, therapeutic/toxic dosing, drug interactions, contraindications, and adverse effects of drug therapy.
• Ability to prepare and maintain accurate, routine reports and records; supervise the work of support personnel and judge the adequacy of their work performance; communicate effectively orally; use professional judgment to make decisions, problem solve, and prioritize activities; use initiative and act independently. 
• Experience with EMRs or care management software.
• You are a critical thinker who brings a passion and love for healthcare
• You are comfortable in a team setting working with clients, management, and internal resources in a fast-paced agile environment
• You believe supporting your team is the most important part of the job

You know your job is to be interrupted multiple times a day and yet you still get the job done

The Angel Broking Story

Incorporated in 1987, Angel Broking Limited is one of the largest independent full-service retail broking houses in India committed to providing accurate and widespread data for every online share trader. Angel Broking is considered as a home to the independent database on the web covering the Indian online brokerage industry. Our experience of over two decades has helped us to integrate our knowledge and expertise in the broking industry with the technology we provide to our retail clients through various platforms.

We are a technology-led financial services company providing broking and advisory services, margin funding, loans against shares (through one of our Subsidiaries, AFPL) and financial products distribution to our clients under the brand “Angel Broking”. Our broking and allied services are offered through (i) our online and digital platforms, and (ii) our network of over 15,000 Authorised Persons (the “Authorised Persons”), as of Sep 30, 2021.

We have a team of highly skilled technology and finance professionals and are currently looking for highly motivated field experts to be part of our high-energy team.

Role: Product Manager

What will you do

As Product Manager, you will play a key role in our journey to make trading & investing easily accessible and affordable to all millennials. You will be conceptualizing and executing ideas that create values for traders as well. The job will involve understanding traders & investors requirements, creating workflows, and coordinating with design, engineering, marketing & operation teams.

Roles & Responsibilities

• Define, understand & identify key success metrics.
• Track and analyze performance and constantly identify improvements to drive maximum usage and achieve business objectives
• Design & own product roadmap. Ensure steady execution of product life cycle processes from idea to final launch
• Collaborate with design team and guide their investments for research, prototyping, experimentation, and overall design thinking
• Collaborate with Data Analytics team and guide their investments in data analysis for a high impact conversational, prediction, and personalization strategy
• Coordinate with internal business verticals to collect requirements and convert them into clear actionable items
• Manage daily interaction with the tech team to clear their doubts if any in the requirements documents.
• Own features and experiments end-to-end, including writing product specs, creating wireframes, driving cross-functional execution, making thoughtful product decisions along the way, and sharing insights and results throughout the company.
• Gather, review, and interpret qualitative & quantitative data to uncover new product insights.
• Ability to drive PAT, DAT & UAT along with QA team
• Take product ownership through the entire development cycle, from concept, design and development, through to launch and achieving business impact
• Ability to take initiative and address something hands-on, you persevere when others give up.

What we are looking for

• Engineering and / Management degree from a Tier 1 institution.
• We are looking for developer turned Product Manager with 1-6 years of experience in Product Management. (Preferably 1+ years of Hands of Application development (in Java / C++ / or any other programing language))
• Experience in the B2C/B2B segment
• Data-driven decision-making ability
• Sharp User Research skills - conducting Usability Testing, User interviews, Card Sorting & A/B Testing
• Obsession with the mission to improve customer experience
• Prior experience in understanding & working with APIs driven businesses and leading B2C mobile applications.
• Ability to conceptualize, manage and prioritise tasks
• Excellent Stakeholder management skills
• Amazing verbal and written communication skills
  
  

What you get :

• Chance to play a pivotal role in building the next-gen fintech product
• Top tier scale from Day 1 - related battle scars / glory
• Work with other world class talent ( ex Amazon, Uber, Google, Walmart Labs)
• Still be based out anywhere you wish - You can Work from Anywhere #WFA}

If you are #superpumped about the role, we would love to connect with you! APPLY NOW

• Handling entire recruitment cycle from sourcing, screening, joining formalities, documentation, exit formalities
• Planning and organizing training programs for employees
• Assisting with the payroll process, benefits, compensation and employee performance appraisals
• Resolving employees’ queries on compensation and labour regulations
• Tracking and accounting for all deductions like PF, Professional Tax etc.
• Processing and maintaining HR documents as per statutory requirements and employment laws
• Ensuring timely updating of HRMS software
• Developing and implementing HR policies and procedures
• Compiling and analysing data for HR Metrics
• Handling Grievances and Employee counselling
• Handling all HR related Audits for the organisation
• Evaluating and improvising the current HR policies in line with the business and organization requirements

Desired Candidate Profile

• Graduation / MBA in HR
• Proven experience as an HR Generalist
• Understanding of general human resources policies and procedures
• Outstanding knowledge of MS Office
• Excellent communication and people skills
• Aptitude in problem-solving
• Ability to work comfortably under pressure and meet tight deadlines
• Desire to work as a team with a result-driven approach
• Additional HR training will be a plus