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Forward Deployed Data Engineer

4.00 to 7.00 Years   Hyderabad, Bangalore   15 Jun, 2025
SeaCross Recruitment Services
Job LocationHyderabad, Bangalore
EducationNot Mentioned
SalaryRs 8 - 10 Lakh/Yr
IndustryAutomation
Functional AreaEngineering Design / Construction
EmploymentTypeFull-time

Job Description

    Job Title:Forward Deployed Data EngineerLocation:India Work From HomeHours:Need to overlap 4 hours with US ClientsAnnual TC Budget: upto 14 LakhsPosition to be filled by: ASAP. Looking for immediate joinerPosition Type: Full time.Role Overview:As a Forward Deployed Data Engineer, you will partner directly with our clients to design, build, and deploy end-to-end data solutions that drive critical business outcomes. You will leverage modern data-engineering best practices, and cloud platforms to architect scalable pipelines, perform advanced analytics, and ensure rapid time-to-value in complex, real-world environments.Key Responsibilities:
    • Client Engagement & Solution Design
    Collaborate with stakeholders to understand business objectives, data sources, and pain points.Translate requirements into technical designs for data ingestion, transformation, and serving layers.
    • Data Pipeline Development
    Implement robust, modular ELT pipelines using Palantir Foundry Code Repositories.-Ensure quality of data by implementing processes for data cleaning and validations Optimize data models for performance, maintainability, and observability.Provide technical guidance to resolve complex data challenges.
    • Deployment & Operations
    Drive end-to-end deployment: develop CI/CD workflows Troubleshoot and resolve data pipeline issues in production.Develop and maintain comprehensive documentation for data models, processes, and analysis methods.
    • Cross-Functional Collaboration
    Work alongside data scientists, business analysts, and software engineers to integrate machine-learning models, dashboards, and operational applications. Mentor junior engineers and help establish best practices for version control, testing, and code reviews.Foster a collaborative environment to promote knowledge sharing and team growth.
    • Innovation & Continuous Improvement
    Identify opportunities to automate manual processes and introduce data-fabric patterns for real-time analytics.Stay current with emerging data-engineering technologies and recommend strategic enhancements.Required Qualifications:
    1. Bachelors or masters degree in computer science, Engineering, or related field.
    2. 3 years of hands-on experience building data pipelines in large-scale environments.
    3. Delivered data solutions for clients in the manufacturing domain.
    4. Proficiency in SQL, Python and/or Java for Spark-based ETL (Apache Spark, PySpark).
    5. Strong SQL skills for data modeling, performance tuning, and complex queries.
    6. Experience with any of the Data & AI cloud platforms - AWS, GCP, Azure, Databricks, Snowflake.
    7. Knowledge of DevOps practices: CI/CD (Jenkins/GitLab CI),
    8. Excellent interpersonal & communication skills: able to engage directly with clients to drive consensus and deliver results.
    9. Proficiency in SQL, Python, data modeling, ETL processes and data visualization tools.
    10. Excellent problem-solving skills and the ability to manage multiple priorities.
    Preferred Qualifications:
    1. Certification in any data engineering platforms.
    2. Experience in Palantir Foundry platform
    3. Experience in data science methodologies and Python ML frameworks like TensorFlow, PyTorch, and Scikit-learn for model development and deployment.
    4. Good understanding of data governance, privacy, and security best practices.
    Interested Candidates can share their cv on hidden_mobile

Keyskills :
azureawsdevopsjavasqlpythongitlabapachegcp

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