Data Solution Engineer

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 strong 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 analytics solutions (Adobe Analytics & Google Analytics)