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Lead Data Engineer
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Lead Data Engineer
CapgeminiThis job is no longer accepting applications
Job Description
Job Description
Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.
Job Description - Grade Specific
The role involves leading and managing a team of data engineers, defining and executing the data engineering strategy, and ensuring the effective delivery of data solutions. They provide technical expertise, drive innovation, and collaborate with stakeholders to deliver high quality, scalable, and reliable data infrastructure and solutions.
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About Company
Skills:
Pyspark, Apache Spark, Databricks, Sql, Delta Lake, cloud-native services, Unity Catalog
Skills:
Apache Spark, Sql, Apache Flink, Java, AWS Glue, Data Governance, Python, Apache Kafka, Scala, Data Lake architectures, DataOps, Agentic frameworks, Apache Iceberg, AI-driven workflows, Data observability, AI-assisted software development tools
Skills:
data warehouses , Azure Data Factory, Sql, Databricks, Azure Synapse Analytics, Power Bi, Etl, PostgreSQL, ELT, Data Architecture, AWS, Gcp, SAP, Microsoft BI, Data Integration, Oracle, Python, Data Governance, Spark, Airflow, lakehouse architecture, Salesforce, data lakes, Microsoft Fabric, cloud-based data platforms
Skills:
snowflake , Data Governance, Data Modeling, Sql, Python, DevOps for data