Position: Data Engineer
Experience: 5-10 years
Skillset: Python, Scala, DatabricksGCP Cloud, Big Query
Work Location: Hyderabad
Notice Period : Immediate Joiners

Job Description:
Data Solution Engineer: • Core experience: Minimum 5 years of hands-on experience in data processing pipeline and API development, with solid proficiency in Python (PySpark) and Scala a must • Big data & distributed systems: Apache Spark, Databricks, Blob Storage, BigQuery and managed Spark (Dataproc) on GCP; processing structured, semi-structured and multi-modal data (text, image, audio, video) • Lakehouse & table formats: Delta Lake, Apache Iceberg and Apache Hudi • Data modelling & stores: Designing data schemas, tables and partitioning strategies across SQL and NoSQL databases such as Cosmos DB and Redis • Pipelines & orchestration: Building batch and streaming ETL/ELT processes over pub/sub platforms (Kafka, Azure Event Hubs, Google Cloud Pub/Sub), orchestrated with Airflow on Kubernetes, in containerized, scalable and serverless architectures • Infrastructure as Code:



Terraform or equivalent • Performance & cost optimization: Spark tuning, shuffle optimization, caching, cluster sizing, query optimization, debugging long-running jobs and cloud cost control • Data quality & lineage: Defining data quality rules and data lineage definitions, and creating monitoring alerts out of them • Testing for data pipelines: Data validation, regression tests, reconciliation and end-to-end pipeline testing • Observability & reliability: Centralized logging, metrics, tracing, job monitoring, SLAs/SLOs and incident troubleshooting • ML engineering: Feature store, feature and training pipelines, model deployment and serving, model monitoring with drift detection and retraining (MLflow / MLOps) • AI-assisted development: Hands-on experience using tools such as GitHub Copilot, Claude Code or equivalent for code generation, debugging, testing and developer productivity • Nice to have: Past exposure to web

📌 Data Solution Engineer (India)
🏢 ValueLabs
📍 India