Employer description & source details
Data Analytics/Pyspark/Azure data bricks Pipeline Design & Development: Build, monitor, and maintain robust, scalable batch and real-time ETL/ELT pipelines using PySpark, SQL, Delta Lake, and Auto Loader. Data Governance & Security: Enforce data access policies, row/column-level security, and lineage tracking using Databricks Unity Catalog to protect PII and maintain compliance Orchestration & Workflow Automation: Schedule and orchestrate multi-task jobs using Databricks Workflows (Lakeflow Jobs) or external schedulers (e.g., Apache Airflow, Azure Data Factory) Data Quality Assurance: Define and integrate automated data quality rules, validation checks, and testing frameworks (e.g., Great Expectations, Delta Live Tables expectations) directly into pipelines Big Data handling :Design and implement scalable data ingestion, transformation, and processing pipelines. Automate data collection, validation, and integration workflows. Ensure data quality, reliability, and governance across the data ecosystem. Interface with diverse enterprise data sources including databases, APIs, cloud platforms, files, streaming systems, and third-party applications. Analyze structured and unstructured data to derive actionable insights and recommendations. Design experiments, evaluate data performance, and continuously improve solution effectiveness.Apply advanced analytics techniques to support business decision-making. Data Visualization & Business Insights. Build intuitive dashboards and visualizations to communicate insights effectively. Translate technical findings into business-friendly recommendations. Support leadership teams with data-driven decision-making.AI, GenAI & Agentic Solutions. Design and develop AI-powered applications using modern Large Language Models (LLMs). Build Agen
Extracted skills: python, sql, aws, azure, gcp, docker, kubernetes, machine learning, data analytics, power bi, tableau, security