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Atom Systems Reviews by Employees

Location : Remote Mode : Contract (2 Months with Possible Extension) Years of experience : 3+ Years Shift : UK shift Job Summary : We are looking for a highly motivated and detail-oriented Data Engineer with a strong background in data cleansing, Python scripting, and SQL to join our team. The ideal candidate will play a critical role in ensuring data quality, transforming raw datasets into actionable insights, and supporting data-driven decision-making across the organization. Key Responsibilities : - Design and implement efficient data cleansing routines to remove duplicates, correct anomalies, and validate data integrity. - Write robust Python scripts to automate data processing, transformation, and integration tasks. - Develop and optimize SQL queries for data extraction, aggregation, and reporting. - Work closely with data analysts, business stakeholders, and engineering teams to understand data requirements and deliver clean, structured datasets. - Build and maintain data pipelines that support large-scale data processing. - Monitor data workflows and troubleshoot issues to ensure accuracy and reliability. - Contribute to documentation of data sources, transformations, and cleansing logic. Requirements : - Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. - 3+ years of hands-on experience in data engineering, with a focus on data quality and cleansing. - Strong proficiency in Python, including libraries like Pandas and NumPy. - Expert-level knowledge of SQL and working with relational databases (e.g., PostgreSQL, MySQL, SQL Server). - Familiarity with data profiling tools and techniques. - Excellent problem-solving skills and attention to detail. - Good communication and documentation skills. Preferred Qualifications : - Experience with cloud platforms (AWS, Azure, GCP) and data services (e.g, S3, BigQuery, Redshift). - Knowledge of ETL tools like Apache Airflow, Talend, or similar. - Exposure to data governance and data cataloging practices

Remote

Data Engineer - Python/SQL (3-5 yrs)

Location : Remote Years of experience : 15+ Years Shift : US shift Job Summary : We are looking for a seasoned UI Path Process Mining Consultant with 15-20 years of experience in the manufacturing industry. - The ideal candidate will have a deep understanding of manufacturing operations, extensive experience in process optimization, and hands-on expertise with UI Path Process Mining. - Familiarity with QAD ERP systems and strong integration knowledge is essential. - This role will involve working with cross-functional stakeholders to uncover inefficiencies, enable process transparency, and drive data-led decision-making for continuous improvement. Key Responsibilities : - Lead comprehensive Process Mining initiatives using UI Path across manufacturing business functions. - Partner with stakeholders across operations, quality, supply chain, and IT to map and analyze critical processes. - Integrate various enterprise systems, especially QAD ERP, MES, and PLM platforms, with the Process Mining tool. - Interpret large volumes of data to identify bottlenecks, redundancies, and areas suitable for automation. - Create visual dashboards, KPIs, and actionable reports to support executive decision-making. - Collaborate with CoE teams to translate mined insights into automated process pipelines. - Ensure compliance with audit and governance frameworks through detailed documentation and process transparency. - Guide junior team members and act as a domain expert in manufacturing and process transformation. Required Skills & Qualifications : - Bachelor's/Master's degree in Engineering, Computer Science, Operations, or a related discipline. - 15-20 years of experience in the manufacturing sector, with a focus on process improvement, automation, or digital transformation. - Minimum 3-5 years of hands-on experience with UI Path Process Mining or similar tools (e.g., Celonis, Signavio). - Proven experience with QAD ERP and understanding of its data structures and process flows. - Deep knowledge of manufacturing business processes - including production, quality, logistics, and supply chain. - Strong skills in SQL, data modeling, and business intelligence/reporting tools. - Excellent communication skills with the ability to influence cross-functional stakeholders. - Strategic mindset with a track record of driving value through data and automation. Preferred Qualifications : - UI Path certifications in Process Mining, Automation, or RPA. - Exposure to Lean, Six Sigma, or other process improvement frameworks. - Experience leading digital transformation projects in a manufacturing environment. - Familiarity with integration platforms and data lakes

UiPath/Process Mining Consultant - PLM (15-20 yrs)

Position : Senior Salesforce Architect Location : Hybrid Coimbatore Office Engagement : Full-time Start Date : Immediate Role Overview : We are seeking a highly experienced Senior Salesforce Architect to lead enterprise Salesforce initiatives for a global Medical Device client. This individual must be a hands-on technical leader with the ability to drive integration-heavy implementations, manage Salesforce data migrations, and operate effectively in unstructured client environments. The role also demands team leadership, technical delivery ownership, and a strong focus on data integrity and governance. Key Responsibilities : - Lead the architecture, design, and technical delivery of Salesforce programs, ensuring alignment with business goals. - Work directly with client stakeholders to run discovery workshops, gather requirements, and define scalable solutions. - Provide hands-on leadership in Apex, LWC, Flows, and advanced Salesforce configurations. - Architect and implement complex integrations with third-party systems (ERP, CRM, cloud platforms) using REST/SOAP APIs, Platform Events, and middleware (MuleSoft, Boomi, etc.) - Design and execute data migration strategies including mapping, cleansing, validation, transformation, and cutover plans. - Ensure data integrity across Salesforce and integrated systems through governance, auditing, and validation rules. - Establish standards for technical delivery, DevOps, and team development; mentor developers and guide architectural decisions. - Bring structure and leadership to unstructured and evolving client environments by defining technical governance and delivery frameworks. Required Skills & Experience : - 12-15 years of IT experience, with 3-6+ years of Salesforce architecture and Hands on development. - Recent hands-on expertise with Apex, LWC, Flows, Platform Events, External Services, and Named Credentials. - Deep experience in enterprise Salesforce integrations with third-party systems using APIs and middleware platforms (AWS (Glue, Redshift), Azure(ADF, Fabric) etc. - Strong background in data migration projects including experience with large-scale data loads, ETL tools, and ensuring data accuracy and consistency. - Proven ability to lead technical teams and deliver complex Salesforce solutions end-to-end. - Strong communication and stakeholder management skills with a history of working in client-facing consulting roles. - Salesforce Architect certifications (Application Architect, System Architect) preferred. Nice to Have : - Experience with projects in the Medical Device / Life Sciences industry. - Familiarity with FDA, HIPAA, or other regulated environments. - Salesforce Certified Technical Architect (CTA) or currently on the CTA path.

Coimbatore

Senior Salesforce Architect (12-15 yrs)

Job Title : Business Intelligence Data Engineer Location : Remote Experience : 5-10Years Position Summary : This role is a blend of technical expertise in data engineering and business intelligence analytics. The ideal candidate is a positive, growth-oriented individual who will be responsible for designing and maintaining robust data pipelines, optimizing data workflows, and delivering insights through advanced BI tools. The Business Intelligence Data Engineer (BIDE) strives for operational excellence by providing accurate, congruent and reliable and is easily accessible/digestible. They work closely with Quenchs senior IT staff and internal customers to turn data into critical information and knowledge that can be used to make sound business decisions. The ideal candidate possesses a high degree of personal responsibility, accountability, and professional integrity; and can thrive in autonomous or collaborative environments. Primary Responsibilities : Data Engineering : - Develop and maintain scalable and efficient data pipelines and ETL/ELT processes to integrate data from various sources. - Optimize and manage data storage solutions such as relational databases, data lakes, and cloud-based warehouses (e.g., Synapse Data Warehousing, Snowflake, Redshift). - Collaborate with cross-functional teams to define and implement data architecture and governance best practices. - Monitor data pipeline performance and implement improvements to ensure high availability and reliability. - Ensure data integrity, security, and compliance with organizational policies. - Maintain the source of truth for Quenchs data across multiple systems. Secondary Responsibilities : Business Intelligence & Analytics : - Design, develop, and maintain advanced dashboards, visualizations, and reports using Power BI. - Analyze complex datasets to identify trends, patterns, and actionable insights that support business objectives. - Collaborate with business stakeholders to define key performance indicators (KPIs) and create data models that align with business goals. - Provide technical expertise to optimize BI tools and integrate them with data engineering workflows. - Perform ad-hoc data analyses to address specific business questions and challenges. Qualifications : - Bachelors degree in Computer Science, Data Science, Information Systems/Engineering, or 10+ years of relevant hands-on experience. - 5+ years of experience in data engineering, data warehousing and business intelligence analytics. - Advanced proficiency in SQL and experience with database technologies (e.g. PostgreSQL, MySQL, MS SQL Servier). - Proficiency in programming languages like Python or R for data processing and analytics. - Experience in integrating with and managing APIs (e.g., REST, GraphQL) for data extraction and transformation. - Hands-on experience with data integration solutions (e.g. MS Data Factory, Informatica, SAP Data Services, Talend) - Expertise with data pipeline tools (e.g., Apache Airflow, dbt) and cloud platforms (e.g., Microsoft Fabric, AWS, Azure). - Advanced experience with BI tools like Tableau, Power BI, or Looker. - Strong knowledge of data modeling, schema design, and ETL/ELT processes. - Solid understanding of data governance, security, and compliance standards. - Excellent communication skills, with the ability to present complex data findings to technical and non technical audiences. Preferred Skills : - Experience in agile and scrum project management techniques in ticket-based tracking systems such as Jira or Salesforce case management - Experience with real-time data processing frameworks (e.g., Apache Kafka, Spark). - Knowledge of predictive analytics, machine learning, or statistical modeling techniques. - Certification in relevant BI, cloud platforms, or Data Engineering tools. Nice to have : - Experience with ServiceMax, Zuora, Financial Force, Salesforce CPQ, Supply Chain Management, Call Center Analytics - Familiarity with Salesforce dashboard and reporting

Business Intelligence Data Engineer (5-10 yrs)

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