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About Position:
We are seeking a Senior Data Engineer with strong expertise in Azure data ecosystem, Databricks, and modern Lakehouse architectures. The role involves designing and implementing scalable data pipelines, migrating enterprise data to Azure-based Lakehouse platforms, and ensuring secure and efficient data processing. The ideal candidate will have hands-on experience with PySpark, SQL, and cloud-based data engineering along with strong data modeling and integration capabilities.
What You'll Do:
Expertise You'll Bring:
Benefits:
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
Let's unleash your full potential at Persistent - persistent.com/careers
Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.
Job ID: 148511821
Skills:
Power Bi, Spark, Python, query development, Data Vault architecture, Microsoft Azure services, Microsoft Fabric, SQL databases, stored procedures
Skills:
snowflake , S3, Data Modelling, Redshift, Jenkins, Lambda, Spark Streaming, Data Architecture, Apache Kafka, Gitlab, Data Governance, Python, AWS, PY-Spark, Alation, Glue, Data Quality Mesh
Skills:
Pyspark, Performance Tuning, Pyspark, Pl Sql, Azure Databricks, Sql, Azure Data Factory, RDBMS, Unix Shell Scripting, Spark, Azure Data Lake, Python
Skills:
snowflake , Metadata Management, Data Governance, Sql, Python, Data quality practices
Skills:
T-sql, Hadoop, Power Bi, Pyspark, Scala, SQL Server, Apache Spark, Kafka, Azure Databricks, Azure ML, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Python, EventHub, Stream Analytics, Azure SQL DB, Azure Analysis Services
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