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About Position:
We are seeking a highly skilled Data Engineer with 6 to 10 years of experience in building scalable, cloud-based data solutions using Azure, Databricks, and PySpark. The ideal candidate will be responsible for designing, developing, and optimizing enterprise-grade data pipelines, enabling data-driven decision-making across the organization. You will work closely with business stakeholders, data scientists, and analytics teams to deliver reliable, secure, and high-performance data solutions.
What You'll Do:
Expertise You'll Bring:
Benefits:
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent 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: 151868385
Skills:
Document Databases Working knowledge of MongoDB, ETL Tools Proficiency in Ab Initio GDE EME Co Operating System, Unix Linux Scripting, SQL PL SQL Querying, Testing QA Exposure to SIT E2E and OAT testing cycles, Messaging Systems Experience with IBM MQ Apache Kafka, Agile Delivery Experience with JIRA, Scheduling Tools Familiarity with Tivoli Workload Scheduler TWS, Security Compliance Awareness of access control vulnerability assessments
Skills:
.NET, data warehouses , Spark SQL, Power Bi, Azure Log Analytics, Powershell Scripting, Hive, Azure Data Factory, Data lakes, Microsoft Azure Data platform, Azure SQL Data Warehouse, Azure Storage Services, Azure Application Insights, Data Bricks, Stream Analytics, data marts, Event Hubs, Azure SQL DB, Azure Analysis Services
Skills:
S3, RDS, Pyspark, Databricks, Emr, Redshift, Python, Sql, AWS, Etl
Skills:
Java, Unix, Apache Flink, Data Modeling, Schema Design, Pyspark, Data Cleansing, Apache Spark, Data Warehouse Concepts, Shell Scripting, Sql, ELT, Apache Airflow, Linux, Apache Kafka, Restful Apis, Python, Etl, Data Transformation, Data Quality Validation
Skills:
snowflake , Kafka, ELT, Devops, Spark, Incident Management, Databricks, Restful Apis, Azure, Etl, AWS, Airflow, Monitoring