Data Analyst

Job Description Job Title- Data Analysis Total Exp - 5 to 8 Years Location- Mumbai, Chennai, Pune, Banglore, Kolkata, Noida, Hyderabad Notice Period - Immediate Joiners to 30 Days Only Mode- Hybrid Job Description End-to-end Data Engineering Design, Build, and Operate scalable Batch & Streaming Pipelines; ingest, transform, and serve across Lake House and Warehouse Environments; automate with Workflow Orchestration Tools. Modelling and storage: Implement Conceptual, Logical, and Physical Data Models; optimize Partitioning, Indexing, File Formats (Parquet, Delta, Iceberg), and Table Design for performance and cost. Data quality and governance: Enforce standards for Data Freshness, Data Lineage, SLAs/SLOs, Schema Evolution, and PII Handling; integrate with Enterprise Catalogs and Governance Controls. Cloud platform engineering: Configure and tune Cloud Data Services (e.g., Azure Databricks, Synapse, Fabric, ADLS, ADF, Snowflake); implement CI/CD, IaC, Observability, and Cost Optimization Patterns. Performance and reliability: Profile workloads, remove bottlenecks, manage Shuffle Skew, Joins, and improve reliability via Retry Idempotency, Checkpointing, and Backpressure Strategies. Collaboration and leadership: Provide Technical Guidance to Engineers, review Designs and PRs, and contribute to Standards, Blueprints, and Reusable Accelerators. Partner with Product, Platform, and InfoSec teams to land secure solutions. Migration and integration: Lead Data Migration/Integration Initiatives, On-Prem to Cloud Migration, and system decommissioning with Zero/Low Downtime Strategies and robust validation. Continuous improvement: Evaluate emerging tools (e.g., dbt, Delta Live Tables, Fabric Dataflows), propose upgrades, and institutionalize best practices.