Data Architect
- Posted 2 months ago
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Job Description
Job Title-Data Architect
Experience- 9 to 13 years
Notice period: Immediate to 30 days
Mail to [Confidential Information]
Key Responsibilities:
- Design, develop, and optimize end-to-end data architectures on Azure cloud.
- Team handling experience is mandatory
- Build scalable data pipelines using PySpark and orchestrate workflows with Azure Data Factory.
- Implement big data solutions using Azure Databricks, including data ingestion, transformation, and storage.
- Collaborate with data engineers, analysts, and business stakeholders to understand data requirements and translate them into scalable solutions.
- Define data modeling strategies and implement SQL-based data warehousing and analytics solutions.
- Monitor and troubleshoot production data pipelines for performance, reliability, and scalability.
- Ensure data governance, security, and compliance standards are met.
- Mentor and guide junior data engineers and developers.
More Info
About Company
Skills:
snowflake , S3, Pyspark, AWS Glue, Emr, Redshift, Sql, Cloud Migration, Lambda, Git, Terraform, Data Lake, Data Warehouse Architecture, Data Governance, Python, ETL ELT Design Development, CI CD, Data Modeling Logical Physical, Athena
Skills:
Power Bi, Tableau, Sql, Gcp, Py Spark, Azure, Photon Engine, Python, AWS, Databricks Unified Data Analytics Platform, DLT, Auto Loader, Looker, Unity Catalog, Databricks Asset Bundles, Delta Lake
Skills:
Data Modelling, Pytest, T-sql, Adf, ELT, Spark, Data Architecture, Databricks, Python, Etl, Airflow, Auto Loader, Unity Catalog, Delta Lake, Structured Streaming
Skills:
Sql, Data Factory, Pyspark, Power Bi, Data Lineage, Data Governance, Dimensional Modeling, Data Quality, Spark SQL, semantic models, Security, star schemas, medallion architecture, Warehouse, OneLake, Privacy, Delta Lake, semantic mapping, Taxonomy, lifecycle controls, Dataflow Gen2, enterprise ontology, metadata frameworks, Lakehouse, Notebooks, Microsoft Fabric, KPI definition, master data management, Data Pipelines
Skills:
data warehouses , snowflake , Kafka, Data Governance, Informatica, ELT, Docker, Terraform, Data Integration, Python, Java, BigQuery, Cloudformation, Sql, Gcp, Kubernetes, Etl, Data lakes, Airflow, API microservices, dbt, Data pipeline orchestration, Cloud-native technologies, Compliance frameworks, Real-time streaming systems, CI/CD, Lakehouses, Pub/Sub