
Data Engineer
4 weeks ago
Role: Data Engineer
Experience: 7+years
Location: Remote
Work Timings: IST Hrs.
REQUIRED
- Programming: Python, SQL, Spark
- Cloud Platforms: Azure, Snowflake
• Data Tools: DBT, Erwin Data Modeler, Apache Airflow, API Integrations, ADF
• Governance: Data masking, metadata management, SOX compliance
• Soft Skills: Communication, problem-solving, stakeholder engagement
Technical Skills:
• 7 years of data engineering or design experience, designing, developing, and deploying scalable enterprise data analytics solutions from source system through ingestion and reporting.
• 5 years of experience in ML Lifecycle using Azure Kubernetes service, Azure Container Instance service, Azure Data Factory, Azure Monitor, Azure DataBricks building datasets, ML pipelines, experiments, logging, and monitoring. (Including Drifting, Model Adaptation and Data Collection).
• 5 years of experience in data engineering using Snowflake.
• Experience in designing, developing & scaling complex data & feature pipelines feeding ML models and evaluating their performance.
• Experience in building and managing streaming and batch inferencing.
• Proficiency in SQL and any one other programming language (e.g., R, Python, C , Minitab, SAS, Matlab, VBA knowledge of optimization engines such as CPLEX or Gurobi is a plus).
• Strong experience with cloud platforms (AWS, Azure, etc.) and containerization technologies (Docker, Kubernetes).
• Experience with CI/CD tools such as GitHub Actions, GitLab, Jenkins, or similar tools.
• Familiarity with security best practices in DevOps and ML Ops.
• Experience in developing and maintaining APIs (e.g.: REST)
• Agile/Scrum operating experience using Azure DevOps.
• Experience with MS Cloud - ML Azure Databricks, Data Factory, Synapse, among others.
Professional Skills:
• Strong analytical and problem-solving skills and passion for product development.
• Strong understanding of Agile methodologies and open to working in agile environments with multiple stakeholders.
• Professional attitude and service orientation; team player.
• Ability to translate business needs into potential analytics solutions.
• Strong work ethic: ability to work at an abstract level and gain consensus.
• Ability to build a sense of trust and rapport to create a comfortable and effective workplace.
Thanks & Regards:
Kanika Katiyar
Associate Recruiter
FCS Software Solutions Limited
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