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Data Engineer
Overview
We are seeking skilled Data Engineers to join our Data & Digital Twin Foundation team. You will design, build, and maintain data pipelines that power digital twin platforms, real-time operational systems, and AI/ML workloads. Working closely with data architects, simulation engineers, and ML teams, you will transform raw operational data into high-quality, governed datasets that drive intelligent decision-making.
Our core data platform stack includes:
Data Platform & Lakehouse
- Databricks as the single point of truth for all data
- Realtime Data Pipelines implemented using Kafka for data ingestion.
- Databricks SQL for analytical queries
- Unity Catalog for metadata management and governance
- Terradata for data warehouse and business intelligence.
Stream & Event Processing
- Apache Kafka for real-time event ingestion
- Structured Streaming for continuous data processing
- Delta Live Tables for declarative, quality-enforced pipelines
Data Quality
- Delta Live Tables expectations for data validation
- Data profiling and anomaly detection
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Databricks, PySpark, and Delta Lake
- Build real-time and batch data ingestion pipelines from diverse operational systems using high-performance Kafka data pipelines.
- Implement data transformations that serve digital twin platforms and operational analytics
- Integrate Kafka event streams with Databricks for real-time operational state updates
- Implement data quality checks using Delta Live Tables expectations
- Ensure data governance compliance through Unity Catalog (lineage, access control, metadata)
- Optimize pipeline performance, reliability, and cost efficiency
- Write clean, well-documented, and testable code following engineering best practices
- Collaborate with ML engineers to deliver feature-engineered datasets
- Participate in code reviews, knowledge sharing, and continuous improvement initiatives
- Support production data systems through monitoring, troubleshooting, and incident resolution.
- Build business data warehouse solutions using Terradata for business intelligence.
Preferred Qualifications
- 7+ years of hands-on data engineering experience
- Track record of building and maintaining production-grade data pipelines
- Experience with Delta Live Tables for declarative pipeline development
- Experience working in agile, cross-functional teams
- Familiarity with time-series data patterns and operational data modelling
Highly Desirable
- Experience building data pipelines for digital twin or simulation platforms
- Familiarity with operational state modeling for real-time systems
- Exposure to physics-informed or time-series ML feature engineering
- Experience working with distributed, multidisciplinary teams
- Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus
Location: Hyderabad, Telangana
Department: Engineering
Employment Type: Full-Time
Role & Responsibilities:
We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency — with a preference for GCP / BigQuery expertise.
Responsibilities:
- Design, build, and maintain scalable data pipelines and ETL/ELT workflows
- Work with Dataform or DBT to implement transformation logic and data models
- Develop and optimize data solutions on GCP (BigQuery, GCS) or AWS/Azure
- Support data migration initiatives and data mesh architecture patterns
- Collaborate with analysts, scientists, and business stakeholders to deliver reliable data products
- Apply data governance and quality best practices across the data lifecycle
- Troubleshoot pipeline issues and drive proactive monitoring and resolution
Ideal Candidate:
- Strong Data Engineer Profile
- Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.
- Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.
- Must have hands-on experience with any one of the following: Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.
- Must have working experience on any cloud platform: GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).
- Must have strong SQL skills with experience in writing complex queries and optimizing performance.
- Must have programming experience in Python and/or SQL for data processing.
- Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.
- Exposure to data migration projects and/or data mesh architecture concepts.
- Experience with Spark / PySpark or large-scale data processing frameworks.
- Experience working in product-based companies or data-driven environments.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
NOTE:
- There will be an interview drive scheduled on 28th and 29th March 2026, and if shortlisted, they will be expected to be available on these Interview dates. Only Immediate joiners are considered.
Key Responsibilities:
- Design, develop, and implement websites and components within Adobe Experience Manager (AEM).
- Develop and customize AEM components, templates, dialogs, workflows, servlets, and OSGi services.
- Integrate AEM with external systems and third-party services (CRM, DAM, Analytics, etc.).
- Implement responsive front-end solutions using HTML5, CSS3, JavaScript, ReactJS/Angular, and Sightly/HTL.
- Work closely with AEM Architects to ensure technical alignment and best practices.
- Optimize performance of AEM pages and ensure adherence to SEO and accessibility standards.
- Manage AEM environments, deployments, and configurations.
- Provide technical guidance and mentorship to junior developers.
- Collaborate with QA and DevOps teams for CI/CD automation and deployment pipelines.
- Troubleshoot and resolve AEM production issues.
Job Role: Teamcenter Admin
• Teamcenter and CAD (NX) Configuration Management
• Advanced debugging and root-cause analysis beyond L2
• Code fixes and minor defect remediation
• AWS knowledge, which is foundational to our Teamcenter architecture
• Experience supporting weekend and holiday code deployments
• Operational administration (break/fix, handle ticket escalations, problem management
• Support for project activities
• Deployment and code release support
• Hypercare support following deployment, which is expected to onboard approximately 1,000+ additional users
Role: Mobile Automation Engineer (SDET) — On-site, India
Role & Responsibilities
- Design, build and maintain scalable mobile test automation frameworks for Android and iOS using Appium, Espresso, XCUITest or equivalent tools to support continuous delivery.
- Create and own automated test suites (functional, regression, UI, and smoke) that run reliably in CI/CD pipelines (Jenkins/GitHub Actions) and on cloud device farms (BrowserStack/Sauce Labs).
- Collaborate with Developers and Product Owners to translate requirements into test strategies, write robust test cases, and automate end-to-end and integration scenarios (including API tests).
- Investigate, triage, and debug failures — use device logs, ADB, Xcode traces, and performance tools to isolate flakiness and reliability issues and drive fixes.
- Integrate automated tests into build pipelines, enforce quality gates, and provide actionable reporting and metrics for release readiness.
- Advocate and implement test automation best practices: code quality, modular frameworks, reusability, CI parallelization, and maintainable test data strategies.
Skills & Qualifications
- Must-Have
- 3+ years in mobile QA/automation with hands-on experience in Appium or native frameworks (Espresso/XCUITest) across Android and iOS.
- Strong programming skills in Java/Kotlin or Swift and working knowledge of Python or JavaScript for scripting and test tooling.
- Experience integrating automated suites into CI/CD (Jenkins/GitHub Actions) and executing on real & virtual device clouds (BrowserStack/Sauce Labs).
- Practical experience with API testing (REST), test frameworks (TestNG/JUnit/Mocha), and source control (Git).
- Solid debugging skills using ADB, Xcode, Android SDK, and familiarity with mobile performance profiling.
- Preferred
- Experience building custom automation frameworks, parallel test execution, and reliability/flakiness reduction strategies.
- Knowledge of CI orchestration, containerized test runners, and mobile security or accessibility testing.
- ISTQB or equivalent QA certification, prior experience in Agile/Scrum teams, and exposure to device lab management.
3+ years of experience in cybersecurity, with a focus on application and cloud security.
· Proficiency in security tools such as Burp Suite, Metasploit, Nessus, OWASP ZAP, and SonarQube.
· Familiarity with data privacy regulations (GDPR, CCPA) and best practices.
· Basic knowledge of AI/ML security frameworks and tools.
We are looking for a Senior Data Engineer with strong expertise in GCP, Databricks, and Airflow to design and implement a GCP Cloud Native Data Processing Framework. The ideal candidate will work on building scalable data pipelines and help migrate existing workloads to a modern framework.
- Shift: 2 PM 11 PM
- Work Mode: Hybrid (3 days a week) across Xebia locations
- Notice Period: Immediate joiners or those with a notice period of up to 30 days
Key Responsibilities:
- Design and implement a GCP Native Data Processing Framework leveraging Spark and GCP Cloud Services.
- Develop and maintain data pipelines using Databricks and Airflow for transforming Raw → Silver → Gold data layers.
- Ensure data integrity, consistency, and availability across all systems.
- Collaborate with data engineers, analysts, and stakeholders to optimize performance.
- Document standards and best practices for data engineering workflows.
Required Experience:
- 7-8 years of experience in data engineering, architecture, and pipeline development.
- Strong knowledge of GCP, Databricks, PySpark, and BigQuery.
- Experience with Orchestration tools like Airflow, Dagster, or GCP equivalents.
- Understanding of Data Lake table formats (Delta, Iceberg, etc.).
- Proficiency in Python for scripting and automation.
- Strong problem-solving skills and collaborative mindset.
⚠️ Please apply only if you have not applied recently or are not currently in the interview process for any open roles at Xebia.
Looking forward to your response!
Best regards,
Vijay S
Assistant Manager - TAG
Essential Duties and Responsibilities
Include the following, other duties that may be assigned:
Lead the Requirement Discovery Calls.
Defining the Vision
Managing & Scoping the Product Backlog
Providing solutions to solving the Assortment, Availability, Merchandizing, and Supply Chain Problems in Retail Space
Working on various metrics for Retail Industry KPIs and assessing the performance of a retail business
Work with Data Engineers on giving in-depth knowledge of the Business Requirements.
Understanding the business purpose of the story and defining and analyzing possible alternative ways of satisfying the business purpose of the story
Estimation of Level of Efforts(LOE) and Deployment Timelines.
Accountable for ensuring advanced analytics and data science outcomes are continually improved such that product and service offerings stay aligned with changing business needs and strategic objectives
Performing line management of product teams operating within an AGILE methodology
Collaborating closely with Business Owners and users to define product roadmaps, epics, features and user stories
Working with team members to take shared responsibility for the overall efforts that the team has committed to
Taking responsibility for the quality data solutions that developers produce
Interacting with Stake holders (Internal & External) as necessary to clarify requirements and agree on priorities
Review project team solution designs to ensure technical alignment & consistency against predefined target architecture and established standards
Work in partnership with third party suppliers to formulate and execute delivery of customer-focused Product & Services
Assist in developing standards for data ingestion, data access layers, application and integration of selected SaaS platforms and Data Science solutions as key components of the overall solution architecture
First Level of the Analysis of the Data Issues.
Understand End-End Flow of the application technically and functionally to enable oneself to be an eventual Product Owner.
Build and maintain architecture, design, and metadata documentation
Desired Qualifications:
Bachelor’s or Master’s in Data or Computer Science or equivalent technical field
Experience in retail industry is must
Lead the Requirement Discovery Calls.
Defining the Vision
Managing & Scoping the Product Backlog
Experience in solving business problems i.e. Assortment, Availability, Merchandizing, and Supply Chain
Providing solutions to solving the Availability, Merchandizing, and Supply Chain Problems in Retail Space
Working on various metrics for Retail Industry KPI’s and assessing the performance of a retail business
8-10 years of Overall IT Experience.
>5 years of Retail Business experience. Experience in Cloud Technologies is a plus
>2 years’ experience managing stakeholder relationships including influencing & negotiating outcomes
Experience in writing SQL and Complex SQL Queries is a Big Plus
About Us:
Prolifics Corporation Limited is a Global Technology Solutions Provider with presence across North America (USA and Canada), Europe (UK and Germany), Middle East & Asia. In India, we have off shore development centres: 3 in Hyderabad & 1 in Pune.
For more than 40 years, Prolifics has transformed enterprises of all sizes including over 100 Fortune 1000 companies by solving their complex IT challenges. Our clients include Fortune 50 and Fortune 100 companies across a broad range of industries including Financial Services, Insurance, Government, Healthcare, Telecommunications, Manufacturing and Retail. We rank consistently in Dream Companies to Work For and Dream Employer of the Year ranking from World HRD Congress, ranked 7 in 2019.
We encourage you to visit us on www.prolifics.com or follow us on Twitter, LinkedIn, Facebook, YouTube and other social media to know more about us.
Key Skills
- Must have experience building apps using fluter, good knowledge on dart. Preferably built and deployed couple of apps both on iOS and Android
- Good knowledge in integrating or developing app functions using firebase
- Must have ported at least 2 applications on iOS and Android platforms. Exposure to the entire build piepline is a must.
- Has good knowledge on how native android and iOS apps work. Must have experience building iOS native apps
- Has an understanding on Computer vision and basic deep learning concepts. Any prototypes of proof of concepts are a big plus.
What they need to do?
- Code - write or learn to write clean code, understand design patterns and develop a quick turnaround time to ship updates
- UI/UX - understand design guidlines and implement them in the project
- Communication - communicate project goals clearly to the team. Understand and convert project requirements in to actionable steps
- Documentation - maintain documentation to support product development
What is homeground?
- HomeGround is an AI platform that helps aspiring cricketers and coaches level up thier training. We help our users get an equal opportunity to play, train for and achieve their goal by providing professional level training analytics right on the smartphone, no special equipment or sensors required.
- HomeGround is one of the Top 10 early stage sports tech startup selected by Startupbootcamp Australia
- Our team shares experience in product growth, marketing and deep learning. We are passionate about our work and are committed 100% to our startup.
This is regarding .Net Core Developer/Lead opportunity we have with us and we are looking for immediate joiner.
Please find below the job description for your reference:
Required Skills:
- Good understanding of SOLID principles or Object oriented programming concepts
- Working knowledge of design patterns
- ASP.Net Core MVC & Razor
- REST API
- SQL
- Unit testing
Nice to have:
- RabbitMQ or experience working with any message oriented systems
- HTML, Javascript & CSS
- C#7 and above
- Docker
- SSRS
- Quartz or Hangfire
FYI. There will be a small coding ‘test’ during the interview







