11+ Status reports Jobs in Pune | Status reports Job openings in Pune

RESPONSIBILITIES:

• Design, build, execute financial, strategic, and operational analysis across the company and products
• Visa arrangement
• Assist in quarterly and annual budgeting, planning, and forecasting process 
• Assist in month-end finance process including closing books, audit, Invoicing, A/R report, etc
• Assist in managing the HRIS system including data updates of all employee information changes and additions; ensure integrity and accuracy of People data 
• Monitor and report on all key HR metrics; manage the design, implementation and tracking of all People team KPIs 
• Provide useful data to help guide decision-making, and allow the company to scale effectively and efficiently
• Identify and recommend methods to automate, simplify, and enhance processes, procedures, and technology to support the finance and operations team

REQUIREMENTS:

• Must have completed Chartered Accountancy (CA) course
• 1-3 years of experience in finance and operations, preferably in a high-growth tech environment 
• Must show documented proficiency in project management - from project design to evaluation 
• Attention to detail; experience with analytics, metrics and business consulting skills preferred
• Candidate must be able to effectively synthesize disparate quantitative and qualitative data sets to make data-driven decisions quickly for the organization
• Ability to diagnose problems with strategic thinking skills, as well as drive appropriate solutions with self-initiative preferred
• Strong communication and collaborative skills to effectively support and connect with a diverse team
• Obsessive around moving critical business metrics and products

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.

Position: QA Engineer – Jupiter

Location: Pune / Mumbai

Notice Period: Immediate to 30 Days

Experience: 5–8 Years

About the Role

We are looking for a passionate and detail-oriented QA Engineer to join our team for the Jupiter project. The ideal candidate will have strong technical expertise, excellent problem-solving skills, and a deep understanding of quality assurance principles. You will play a key role in ensuring our applications meet the highest standards of quality, performance, and reliability.

Key Responsibilities

• Perform functional, integration, regression, and system testing for complex technical projects.
• Develop, execute, and maintain test cases and test scripts.
• Collaborate closely with developers, business analysts, and project managers to understand requirements and ensure test coverage.
• Identify, log, and track defects through the software development lifecycle.
• Conduct exploratory testing to uncover edge cases and usability issues.
• Participate in release validation, UAT, and production support activities.
• Provide detailed test reports and communicate results to stakeholders.
• Apply QA methodologies and best practices to improve overall product quality.

Required Skills & Qualifications

• 5–8 years of hands-on QA experience in testing complex software systems.
• Strong understanding of QA theory, processes, and methodologies.
• Solid system thinking and analytical skills.
• Good understanding of SQL and Linux fundamentals.
• Excellent verbal, written, and numerical communication skills.
• Ability to work independently and in a fast-paced team environment.

Nice to Have

• Experience in the Finance / Banking domain.
• Basic programming or automation skills.
• Hands-on experience in Exploratory Testing.
• Experience supporting UAT or production environments.

• Strong Lead Search Engineer / AI-ML Leader Profile
• Mandatory (Experience 1) - Must have minimum 6+ years of hands-on experience in Search / Information Retrieval / NLP / Machine Learning
• Mandatory (Experience 2) - Must have minimum 5+ YOE in backend development using languages (Python or Java)
• Mandatory (Experience 3) - Must have Experience designing taxonomy, ontology, tags, thesaurus, and metadata models
• Mandatory (Experience 4) - Must have Experience with Big Data frameworks (Hadoop, Spark) for search/ML workloads
• Mandatory (Experience 5) - Must have Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, Keras, Spark ML).
• Mandatory (Experience 6) - Must have experience in designing, building, and scaling RESTful APIs and Web Services.
• Mandatory (Experience 7) - Must have hands-on experience in statistical tools (Python, R, SAS, or open-source libraries).
• Mandatory (Experience 8) - Must have Experience with SQL/NoSQL databases (CosmosDB, Cassandra, MongoDB).
• Mandatory (Company) - Product Companies (Preferrably high search volumes companies like Flipkart, Amazon, Zepto, Zomato...etc)
• Mandatory (CTC) - The CTC breakup offered will be 80% fixed, and 20% variable, as per Company policy

Preferred

• Preferred (Experience) - Familiarity with modern frontend frameworks (React, Angular, HTML5, CSS3).
• Preferred (Tools) - Must Hands-on with dev tools: Eclipse, Git, Gradle, Jenkins, Jira, JFrog Artifactory and web servers (Tomcat, Jetty, JBoss).
• Preferred (Education) -BE /B.Tech /M.Tech

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.

Roles & Responsibilities

• Collaborate closely with clients to understand their requirements, goals, and any gaps.
• Lead the planning, prioritization, design, development, and deployment of projects.
• Possesses in-depth knowledge and expertise in Workday Integrations and Workday Extend Platform.
• Support existing Integrations and Extend apps by resolving issues and enhancing to add new functionalities.
• Act as a subject matter expert for Workday Extend and provide guidance to clients and colleagues.
• Stay updated with the latest industry trends and developments using Integrations and Extend.
• Collaborate with sales and business development teams to identify new opportunities and contribute to proposal development.
• Utilize your business knowledge and expertise to identify opportunities for technical improvements.
• Work with colleagues across various domains to deliver results and take ownership of both individual and team outcomes.
• Recognize and embody our purpose and values, applying them in your projects and client interactions.
• Foster relationships and communicate effectively to positively influence peers and stakeholders.

Qualifications & Experience

• At least 3 years of experience in Workday HCM and 2 years in Core Compensation is required.
• Hands-on experience in Advanced Compensation is a big plus.
• Bachelor’s degree in a related field or equivalent work experience.
• Good knowledge of HCM security.
• Basic understanding of Workday reporting and its relationship with HCM domain.
• Strong professional communication skills, both written and verbal.
• Proven ability to establish relationships with stakeholders and internal teams.
• Excellent attention to detail and follow-through.
• Preferred Time zone: Crossover with Central European Time zone or Eastern Standard Time Zone.

• 5+ years’ experience in customer focused product management in a technical product, end-to-end implementation and deployment within cloud systems.
• Must have experience in SaaS applications.
• Must have knowledge of Angular 8+, Azure, HTML CSS, JQuery, JavaScript ASP.Net, C#, SQL Server 2012/2014+ etc.
• Should have sound knowledge of Object-Oriented (OOPS) concepts.
• Must have experience in end-to-end product ownership and project management.
• Good experience in Relational Database Management Systems, Database design and Normalization.
• Hands-on experience in design, development, and debugging of systems.
• Object-Oriented Design (OOD) to ensure scalability and maintainability.
• Experience managing multiple clients with strong knowledge of Agile/SCRUM processes.
• Hands-on experience in DevOps and Azure functions.

KEY DUTIES AND RESPONSIBILITIES

·         Working on and at times leading the full software development lifecycle of systems

• Solid technical background with understanding and/or hands-on experience in software development, web technologies.
• Works with the product development team on the validation and verification process.
• Coordinate with the sales team to promote the product. 
• Experience of going through a full product lifecycle, integrating internal and external customer feedback into product requirements, managing change requests, driving prioritization and pre- / post-launch execution.
• Define product tasks and resource requirements.
• Analysis of systems, considering reliability, systems risks and code.
• Create technical and feature roadmaps along with release planning, sprint goals, and grooming of both technical and business functions.
• Manage project conflicts, challenges, and dynamic business requirements to meet expected deliverables.
• Experience in maintaining the document of application functionality.
• Excellent understanding of process management, improvement practices, operation services.
• Strong written and verbal communication skills.

• Design and implement effective database solutions and models to store and retrieve company data.
• Examine and identify database structural necessities by evaluating client operations, applications, and programming.
• Assess database implementation procedures to ensure they comply with internal and external regulations.
• Install and organize information systems to guarantee company functionality.
• Prepare accurate database design and architecture reports for management and executive teams.
• Oversee the migration of data from legacy systems to new solutions.
• Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.
• Recommend solutions to improve new and existing database systems.
• Educate staff members through training and individual support.
• Offer support by responding to system problems in a timely manner.

1. Ensure that accounting books (Zoho Books) are closed on day-to-day basis and entries are made on tally and Zoho books.
2. Ensure that journal entries required to be passed are entered on day-to-day basis on company accounting software (Zoho books).
3. Ensure that adjustment entries and reclassification are properly passed in accounting software.
4. Ensure that reconciliation of general ledger and sub ledger are done accurately.
5. Ensure reconciliation of intercompany counter parties.
6. Complies and analyzes financial information – Complies and analyzes financial information to prepare entries to accounts, such as general ledger accounts – includes inventory adjustments, standard cost adjustments, job cost adjustments, and other cost accounting-related areas.
7. Reconcile general ledger activity reports, researching and correcting any errors or omissions.
8. Review systems of recording transactions and input information into a general ledger – Review systems of recording transactions and input information into general ledger including monthly sales and manufacturing cost reconciliations within sub-ledgers; the documentation of Inventory system- including the flow of information from customer order to production and inventory.
9. Take charge of ensuring full and prompt payment to utility companies and company vendors. They handle invoices, cut checks, and handle relationships with creditors.
10. Check for the approvals of the HOD of the respective department for making any payment to vendors.