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About the Role
We are seeking a Senior Data Engineer to design, build, and optimize scalable data solutions within enterprise retail platforms hosted in Azure. This role is highly hands-on and focused on developing robust data pipelines, optimizing SQL performance, and implementing best practices in Snowflake and SQL Server environments. The Senior Data Engineer will collaborate closely with Leads and Managers to deliver high-quality data architecture solutions aligned with business objectives. The ideal candidate is technically strong, detail-oriented, and experienced in large-scale data processing environments.
Responsibilities
Qualifications
Required Skills
Preferred Skills
Location: Noida / Remote / Hybrid
Employment Type: Full-time
Job ID: 153641531
Skills:
Pyspark, Gcp, Cloud, Sql, Python, dbt, Data Modelling Concepts
Skills:
Data Security, Pyspark, Sql, ELT, Git, Gcp, Data Governance, Databricks, Data Integration, Azure, Python, AWS, Etl, orchestration tools, DevOps practices, Unity Catalog, Delta Lake, Access Control, Lakehouse architecture
Skills:
Github, Tableau, Databricks, Dataproc, Informatica, Python, Sql, Airflow, Dataform, Google BigQuery
Skills:
Azure, Python, AWS, ETL ELT tools, data pipeline development, Snowflake SQL
Skills:
Data Modeling, Sql, Spark, Data Integration, Python, data pipeline development, OneLake, schema management, data quality frameworks, Reconciliation, incremental processing, Pipelines, Notebooks, partitioning, performance optimization, Lakehouse architecture, Microsoft Fabric, Azure data services, Validation