11+ ESI Jobs in Bangalore (Bengaluru) | ESI Job openings in Bangalore (Bengaluru)

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

About Codemonk

Codemonk is a product engineering and AI-focused technology company helping enterprises and startups build scalable digital solutions. We work at the intersection of design, engineering, cloud, and AI to solve complex business problems.

As Codemonk scales, we are strengthening our pre-sales and requirement discovery function to ensure clarity, feasibility, and delivery success from day one.

Role Overview

We are looking for a Senior Business Analyst to play a key role in Codemonk’s pre-sales and early solutioning efforts. This role will work closely with Sales, Engineering, and Design teams to convert opportunities into well-defined problem statements, requirements, and solution approaches.

This is a hands-on senior individual contributor role with clear growth potential into a BA Lead position as the team and organization scale.

Key Responsibilities

A) Pre-Sales & Requirement Discovery

• Partner with the Sales team on qualified opportunities to:
• Conduct requirement discovery discussions
• Understand client goals, constraints, and success metrics
• Translate loosely defined problems into:
• Business and functional requirements
• Scope boundaries, assumptions, and risks
• Collaborate with Engineering and Design teams to:
• Define solution approaches
• Validate feasibility and complexity
• Support effort estimation and proposal preparation
• Contribute to:
• Client presentations
• Solution decks
• PoCs / demos where required

B) Solution Clarity & Documentation

• Create clear and structured artifacts such as:
• Requirement documents
• User stories / use cases
• High-level solution summaries
• Help prevent scope creep by setting clear expectations early
• Support smooth handover from pre-sales to delivery teams

C) Team Collaboration & Mentorship

• Guide and support:
• Business Analysts
• Associate Business Analysts / interns
• Review junior team members’ work and provide feedback
• Gradually take ownership of BA quality across opportunities

D) Continuous Improvement

• Contribute to improving BA processes, templates, and best practices
• Bring a consulting mindset to problem-solving and client interactions
• Grow into greater ownership of the BA function over time

Required Skills & Experience

• 6+ years of experience in Business Analysis, Solution Consulting, or Pre-Sales
• Experience working in IT services, product engineering, or digital solutions
• Strong requirement elicitation and documentation skills
• Good understanding of:
• SDLC / Agile methodologies
• Web, mobile, and cloud-based solutions (conceptual understanding)
• Comfortable interacting with clients, sales teams, and engineers
• Strong communication and problem-structuring skills.

Nice to Have

• Exposure to AI/ML, data platforms, or enterprise systems
• Prior experience mentoring junior BAs
• Experience supporting RFPs or client pitches.

Growth Path

• Increased ownership of pre-sales opportunities
• Formal leadership of junior BAs
• Potential transition into BA Lead / Pre-Sales Lead role as the organisation scales.

• 15+ years of Experience in OFSAA Financial Solution Data Foundation and OFSAA Regulatory reporting solutions
• Expert in enterprise solution architecture and design
• Strong understanding in the OFSAA Data Model, Dimension Management and Enterprise Data Warehouse Knowledge.
• Strong Understanding of OFSAA instrument balances reconciliation with General Ledger Summary Level balances
• Experience in defining and build the OFSAA data architecture and sourcing strategy to ensure data accuracy, integrity and quality.
• Understanding of Banking treasury products, US Fed regulatory etc.
• Strong understanding of data lineage. building
• Strong in OFSAA Data Management Tools Knowledge (F2T/T2T/PLT/SCD’s).
• Experience in Business rules configurations in OFSAA framework
• Strong Experience in deploying OFSAA platform (OFSAAI – OFSAA Infrastructure) and installation of OFSAA application - preferably OFSAA 8.x onwards.

• Developing new user-facing features using React.js
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high-quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (Redux)
• Familiarity with newer specifications of ECMAScript
• Experience with data structure libraries (e.g., Immutable.js)
• Knowledge of isomorphic React is a plus
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial)

• Identify bad code practices in PHP and write new rules to detect them.
• Improve the coverage of automatically fixable issues.
• Ensure fewer false-positives are reported by the analyzer.
• Work on the internal tools that support analysis runtimes.
• Contribute to open-source static analysis tools.

• Strong foundational knowledge in Computer Science.
• At least 3 years of professional software development experience in PHP.
• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).
• Familiarity with PHP best practices followed in the industry.
• Native experience with Linux/Unix environment.
• A focus on delivering high-quality code through strong testing practices.

Job Title: Chief Engineer: Deep Learning Compiler Expert

You will collaborate with experts in machine learning, algorithms and software to lead our effort of deploying machine learning models onto Samsung Mobile AI platform.

In this position, you will contribute, develop and enhance our compiler infrastructure for high-performance by using open-source technology like MLIR, LLVM, TVM and IREE.

Necessary Skills / Attributes:

• 6 to 15 years of experience in the field of compiler design and graph mapping.
• 2+ years hands-on experience with MLIR and/or LLVM.
• Experience with multiple toolchains, compilers, and Instruction Set Architectures.
• Strong knowledge of resource management, scheduling, code generation, and compute graph optimization.
• Strong expertise in writing modern standards (C++17 or newer) C++ production quality code along test-driven development principles.
• Comfortable and experienced in software development life cycle - coding, debugging, optimization, testing, and continuous integration.
• Familiarity with parallelization techniques for ML acceleration.
• Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, or Glow.
• Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.
• Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe.
• Experience operating in a fast-moving environment where the workloads evolve at a rapid pace.
• Understanding of the interplay of hardware and software architectures on future algorithms, programming models and applications.
• Experience developing innovative architectures to extend the state of the art in DL performance and efficiency.
• Experience with Hardware and Software Co-design.

M.S. or higher degree, in CS/CE/EE or equivalent with industry or open-source experience.

Work Profile:

• Design, implement and test compiler features and capabilities related to infrastructure and compiler passes.
• Ingest CNN graphs in Pytorch/TF/TFLite/ONNX format and map them to hardware implementations, model data-flows, create resource utilization cost-benefit analysis and estimate silicon performance.
• Develop graph compiler optimizations (operator fusion, layout optimization, etc) that are customized to each of the different ML accelerators in the system.
• Integrate open-source and vendor compiler technology into Samsung ML internal compiler infrastructure.
• Collaborate with Samsung ML acceleration platform engineers to guide the direction of inferencing and provide requirements and feature requests for hardware vendors.
• Closely follow industry and academic developments in the ML compiler domain and provide performance guidelines and standard methodologies for other ML engineers.
• Create and optimize compiler backend to leverage the full hardware potential, efficiently optimizing them using novel approaches.
• Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.
• Contribute to the development of machine-learning libraries, intermediate representations, export formats and analysis tools.
• Communicate and collaborate effectively with cross-functional hardware and software engineering teams.
• Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.

Keywords to source candidates

Senior Developer, Deep Learning, Prediction engine, Machine Learning, Compiler

Company : BPO

Position: voice process
Location: Kalyan Nagar HRBR layout _ Bangalore

Hindi and English Mandtaory 
Experience 6 months + 
Freshers 

Good at communication