11+ Machinist Jobs in Mumbai | Machinist Job openings in Mumbai

Job Title: Machine Operator

Location : Kalyan Nashik highway

Qualification: 12th Pass / ITI / Diploma

Experience: 0–1 Year / Fresher

Salary: ₹15,000 – ₹20,000 per month

Job Description

• Set up and operate production machines as per standard operating procedures.
• Monitor machine performance to ensure smooth operations and quality output.
• Make basic machine adjustments when required and report technical issues to the supervisor.
• Perform routine inspection, cleaning, and minor maintenance of machines.
• Inspect finished products to ensure quality standards are met.
• Maintain production records and update daily logs accurately.
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Skills Required

• Basic knowledge of machine operations and production processes
• Understanding of safety procedures in manufacturing
• Attention to detail and quality checking ability
• Basic mechanical aptitude
• Ability to follow instructions and work in shifts
• Teamwork and discipline

Role & Responsibilities

• Own end-to-end data architecture across Medallion layers (Bronze/Silver/Gold) on AWS
• Design atomic star schema data models (fact and dimension tables) across multiple business domains
• Define and implement aggregation and KPI layers aligned to business reporting requirements
• Establish data modelling standards, naming conventions, and design patterns across teams
• Ensure alignment with enterprise data strategy and roadmap
• Translate business processes into scalable and reusable data models
• Write and review SQL, Python, and Spark code for pipelines and transformations
• Build and validate data models in Snowflake or Databricks
• Deliver pipelines using AWS services (S3, Glue, Athena)
• Perform data reconciliation and validation across layers (source → curated → BI)
• Ensure data quality, consistency, and integrity across the pipeline
• Own end-to-end SDLC (requirements → design → build → test → release → operate)
• Lead and unblock data engineers and analysts on day-to-day delivery
• Identify blockers, dependencies, and risks early, and propose solutions
• Align delivery with programme roadmap and milestones
• Track execution using Jira and maintain documentation in Confluence
• Gather and validate requirements across multiple business domains
• Translate business requirements into technical designs and data models
• Communicate architecture decisions clearly to non-technical stakeholders
• Drive cross-team alignment to ensure consistent, reliable, and trusted outputs

Ideal Candidate

• Strong Data Architect Profile (AWS / Medallion Architecture / Analytics Transformation)
• Mandatory (Experience 1) – Must have 8+ years of experience in Data Engineering / Data Architecture with strong exposure to large-scale analytics transformation programmes
• Mandatory (Experience 2) – Strong hands-on experience designing and implementing Medallion Architecture (Bronze / Silver / Gold layers) on AWS-based data platforms
• Mandatory (Experience 3) – Strong hands-on experience with Snowflake or Databricks, including data modelling, performance optimization, transformation pipelines, and scalable data warehouse implementations
• Mandatory (Experience 4) – Must have strong expertise in advanced SQL including complex joins, CTEs, window functions, query optimization, and performance tuning
• Mandatory (Experience 5) – Must have Hands-on development experience with Python and Apache Spark/PySpark for large-scale data transformation and processing pipelines
• Mandatory (Experience 6) – Strong experience working with AWS data services including S3, Glue, Athena, and cloud-native analytics/data lake architectures
• Mandatory (Experience 7) – Strong experience in end-to-end ETL/ELT pipeline development including ingestion, transformation, reconciliation, validation, testing, deployment, and production support
• Mandatory (Experience 8) – Experience working across transaction-heavy enterprise domains such as Finance, Supply Chain, HR, Customer, or Operations datasets
• Mandatory (Note) – Only immediate joiners or candidates who can join within 15 days will be considered
• Preferred (Experience) – Experience working with ERP / enterprise systems such as SAP, Oracle, Salesforce, or similar enterprise platforms
• Preferred (Frameworks) – Familiarity with APQC, SCOR, or enterprise process modelling frameworks is an added advantage

Mandatory Skills: ETL, Data Warehousing, Python, GCP Services

Required Skills:

● Bachelor’s degree in Computer Science or similar field or equivalent work experience.

● 4+ years of experience on Data Warehousing, Data Engineering or Data Integration projects.

● Expert with data warehousing concepts, strategies, and tools.

● Strong SQL background.

● Strong knowledge of relational databases like SQL Server, PostgreSQL, MySQL.

● Strong experience in GCP & Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function and GCS

● Good to have knowledge on SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS).

● Knowledge of AWS and Azure Cloud is a plus.

● Experience in Informatica Power exchange for Mainframe, Salesforce, and other new-age data sources.

● Experience in integration using APIs, XML, JSONs etc.

● In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework, data-warehousing and Data Lakes

● Good understanding of SDLC, Agile and Scrum processes.

● Strong problem-solving, multi-tasking, and organizational skills.

● Highly proficient in working with large volumes of business data and strong understanding of database design and implementation.

● Good written and verbal communication skills.

● Demonstrated experience of leading a team spread across multiple locations.

Role & Responsibilities:

● Work with business users and other stakeholders to understand business processes.

● Ability to design and implement Dimensional and Fact tables

● Identify and implement data transformation/cleansing requirements

● Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse

● Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions

● Design, develop and maintain ETL workflows and mappings using the appropriate data load technique

● Provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions.

● Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use.

● Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality.

● Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions.

● Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into reporting & analytics.

● Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions.

● Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements.

● Train business end-users, IT analysts, and developers.

SAP TM (Technical) / Integration Consultant — SAP TM Implementation.

Primary Skill : SAP ABAP

Should have extensive experience in SAP TM roll outs/ implementation.

Work Hours Flexibility : Overlap availability with US Eastern Time (minimum 4-5 hours daily). [Shift allowance can be availed per client policy]

Key Responsibilities

ERP ↔ TM Integration (Core)

DRFOUT (Data Replication Framework) configuration for master data replication: business partners, locations, materials, and organizational data from S/4HANA to decentral TM

SOAP/XI web service configuration for transactional integration: sales order → transportation demand → freight order → delivery → PGI → FI posting

RFC destination setup (SM59), logical system configuration (BD54), SOA Manager endpoint registration

Regression testing of any custom BAPIs, RFCs, or Z-programs affected by version mismatch between core S/4HANA and decentral TM instance

SAP BTP Platform (Integration Layer)

SAP Integration Suite (formerly CPI) — iFlow design and configuration for all external system integrations

BN4L connectivity setup: carrier collaboration flows, freight order tendering, tracking event consumption, carrier portal provisioning

Event Mesh configuration for real-time event-driven patterns (delivery confirmation → billing trigger, carrier status → TM event update)

API Management setup for REST/OData endpoints used by carrier portals, mobile apps, and third-party systems

BTP subaccount architecture, IDP/SSO configuration for external carrier users

Carrier EDI Integration

EDI message mapping and testing: 204 (Load Tender), 990 (Response), 214 (Shipment Status), 210 (Freight Invoice)

EDI partner profile configuration per carrier — message format validation, acknowledgment handling, error/exception workflow

Coordination with carrier IT departments during integration testing — you will be on calls with carrier EDI teams troubleshooting message failures

External System Integration

FourKites / project44 → SAP TM: real-time GPS tracking event consumption via BN4L connector, ETA updates, and exception alerting

PC Miler and SMC3: distance/duration determination service integration (API calls via BTP or direct connection)

Required Skill Set :--

• Data Model & Mapping
• MS SQL Database
• Analytics SQL Query
• Genesys Cloud Reporting & Analytics API
• Snow Flake (Good to have)
• Cloud Exposure – AWS or Azure

Technical Experience –

·        5 - 8 Years of experience, preferable at technology or Financial firm

·        Strong understanding of data analysis & reporting tools.

·        Experience with data mining & machine learning techniques.

·        Excellent communication & presentation skills

·        Must have at least 2 – 3 years of experience in Data Model/Analysis /mapping

·        Must have hands on experience in database tools & technologies

·        Must have exposure to Genesys cloud, WFM, GIM, Genesys Analytics API

·        Good to have experience or exposure on salesforce, AWS or AZUre , & Genesys cloud

·        Ability to work independently & as part of a team

·        Strong attention to detail and accuracy.

Work Scope –

• Data Model similar GIM database based on the Genesys Cloud data.
• API to column data mapping.
• Data Model for business for Analytics
• Data base artifacts
• Scripting – Python
• Autosys, TWS job setup.

LogiNext is looking for a technically savvy and passionate QA Lead to cater to the testing efforts in the domain of manual testing. You will help the team in building an awesome manual platform from scratch and test the product for quality & stability.

You should have hands-on experience in testing and writing test case to develop and execute exploratory tests in order to ensure product quality. You will have to estimate, plan, and coordinate testing activities. You will also have to ensure that quality issues and defects are appropriately identified, documented, tracked, and resolved in our defect tracking system. You should have strong inter-personal and communication skills.

Responsibilities:

• Design, implement & execute the test cases for product features
• Identify, record & track the bugs or enhancements early in the release life cycle
• Create detailed, comprehensive and well-structured test plans and test cases
• Perform thorough regression testing when bugs are resolved and support testing quick patches to production
• Review requirements specifications and technical design documents to provide timely and meaningful feedback
• Create repeatability in testing that enables and validates high quality releases
• Identify functional/non-functional issues and come up with scalable resolutions
• Engage actively with cross functional teams to enable timely delivery through good planning, proactive communication and timely execution
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Requirements:

• Bachelor’s degree in Computer Science, Information Technology or a related field
• 11 to 14 years of relevant experience in the testing domain for SaaS products
• Hands-on experience in non-functional testing skills like Load Testing, Performance Testing and Security Testing
• Experience in testing APIs, web and mobile applications
• Experience in automation of web and mobile platforms
• Experience in working on Linux/Unix environment
• Knowledge of DevOps is an added advantage
• Understanding of Software Development (preferably Java) and Continuous Integration Systems
• Experience with testing on AWS environments
• Experience of working in Agile Environment
• Excellent written and oral communication skills, judgment and decision making skills, and the ability to work under continual deadline pressure

Type, Location

Mumbai, Maharashtra, India

Desired Experience

4+ years

Roles and Responsibilities :

Skills required :

• Strong knowledge of javascript programming, ReactJS, HTML5, CSS3, SASS, ES6 Strong knowledge of modern responsive design techniques
• Strong knowledge of stateless microservices (node/java/etc..), HTTPS/REST, JSON, Webpack/Grunt/Gulp
• Very good understanding and implementation experience of web application UI using OpenID Connect login/authentication
• Version Control – Git, CI/CD of UI projects(e.g. CircleCI, Travis CI, Jenkins), configuration and deployment of static UI assets

Must have skills :

• Must have at least 4 years of industry experience in white labeled Front End web application design & development
• Experience in Test Driven Development, Front End testing and performance optimization (e.g. Jest, unit testing, end-to-end testing)

Our client is India’s first non- preservative brand for natural aroma products. Their offerings include skincare, haircare, body care, bath salts, carrier oils, massage oils, essential oils, handmade soaps, aroma diffusers, foot care and others. All their spa and aromatherapy products are a combination of the best of ingredients that are locally sourced from the freshest and purest sustainable resources. This homegrown D2C startup also has an impressive B2B portfolio and has tied up with well known brands for corporate gifting solutions and signature scents.

It sells its products through its own website, prominent retail stores and pharmacies as well as all the leading ecommerce portals. It has also stepped into the international market and has a strong overseas presence.

Founded by alumni of Stanford University Graduate School of Business and ISB, Hyderabad, this ISO certified company is indeed revolutionizing beauty care by harmonizing body, mind and soul.

As a Sr Manager - Marketplaces, you will be responsible for managing the ecommerce business on key accounts like Amazon, Flipkart or International Business on Amazon in USA and UAE. (Allocation of accounts based on business/ opportunity/ experience)

What you will do:

• Conducting, operating and achieving the business on key account with sales plan to achieve budgeted numbers
• Connecting/ coordinating with Account/ Category Managers of the key account/ Marketplaces
• Ensuring strong healthy relationship with the account team to drive business
• Understanding price sensitivity and managing pricing, ensuring there is price parity as per the policy
• Creating and managing ads, evaluating which ads are working and optimising the same to achieve
• Managing inventory, optimizing content for listings, listing hygiene as per platform standards/guidelines
• Inventory planning and management aligned with sales and marketing plan, focussing on top- sellers, to improve inventory turn and optimised discounting
• Ensuring our top-sellers are in category/ sub-category sales ranks with good visibility and discoverability
• Managing and tracking payments from the partner websites, reconciliation and ensuring there is no variance in the same
• Managing brand reputation through reviews/ ratings/ feedback on the account
• Constantly tracking competitor brands and product, comparative category share to be tracked and working on increasing it
• Using all the tools/ services available on the account that can help in increasing our customer base

What you need to have:

• Graduation is a must.
• Minimum 2-3 years experience in beauty and personal care as in Category(FMCG), Merchandising, KAM role or Business Manager Role on the E-commerce platform
• Experience in a highly analytical, results-oriented environment. (OKR’s). (Plan your work ; work on your plan)
• Proven operational skills and demonstrated ability to manage the business “by the numbers”. Must be metrics-driven.
• Desire to work in a fast-paced, challenging environment with business on mind
• Excellent written and oral communication and presentation skills and the ability to express thoughts logically and succinctly
• Demonstrated active listening skills, highly consultative and solutions-oriented.
• Ability to comprehend questions and ask the right people
• Advanced IT literacy especially in Microsoft Office applications.
• Proficiency in MS excel
• Track record of managing and troubleshooting technical, compliance and business problems
• Strong process definition and optimization skills
• Proven ability to define effective, efficient and scalable processes and drive continuous improvement through root cause identification and defect elimination in consumer experience, business process, product visibility
• Attention to detail and capability to work on multiple projects in parallel
• Easy with numbers and calculations, Ad account management is integral part of growth managers
• Experience with e-commerce, retail, would be an advantage
• Engineering Student (Drop outs also welcome)
• Excellent Communication Skills (Written/ Verbal)
• Strong sense of urgency ability to manage details and multiple tasks while responding to changing priorities and feedback
• A hands-on self-starter, with a can-do positive attitude, willing to roll up their sleeves to do whatever it takes to get the job done, and a strong work ethic will also be essential
• Relationship management: Managing team and working with external and internal stakeholders
• Managing Expectations: Can define Business ASK’s clearly (Number Specific)
• Negotiation skill for getting better visibility on Amazon, Flipkart and like portals (free and paid both)
• Marketing to Operation mindset (Size the Opportunity and how will you Seize the same)

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics