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. 8+ years of data engineering experience, preferably in financial services or high-volume data environments
. Advanced SQL Server expertise, including:
o Query optimization, execution plan analysis, and performance tuning
o Index design, maintenance, and partitioning strategies for large tables
o Deadlock analysis, resolution, and troubleshooting
o Database design, normalization, and experience managing large-scale databases (multi-TB environments)
. Solid understanding of data engineering principles: data modeling, ETL best practices, and data quality frameworks
. Java/J2EE development skills for building scalable data applications
. Good to have the proficiency with Apache Spark (DataFrames, RDDs, Spark SQL) forbuilding and optimizing production-grade ETL pipelines that handle large-scale distributed data processing
Job ID: 145393877
Skills:
.NET, data monitoring , Java, Data Quality, Scala, Data Governance, Python, Data Processing, data ingestion
Skills:
snowflake , Apache Airflow, Github, Apache Spark, Datadog, Python, Kubernetes, Apache Hive, AWS, Dagster, Prefect
Skills:
Spark SQL, Git, Pyspark, Databricks, Python, Sql, Delta Lake
Skills:
Java, Hadoop, Scala, Sql, Git, Azure Data Factory, Gcp, Docker, Terraform, Spark, Databricks, Azure, Python, AWS, Airflow, infrastructure-as-code
Skills:
Etl Tools, Hadoop, Apache Spark, Data Warehousing, Data Integration, Sql, Python, Transformation, Business Intelligence and Data Analytics, Hadoop Database, governance framework
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