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Role - Lead Data Engineer (AWS Lakehouse & Snowflake)
Job Summary:
We are seeking a highly experienced Lead Data Engineer with 9+ years of expertise in designing and building scalable data platforms. The ideal candidate specializes in architecting modern data lake/lakehouse solutions on AWS, leveraging technologies such as S3, Apache Iceberg, PySpark, and Airflow, with Snowflake serving as the business intelligence and analytics layer. This role requires strong technical leadership, hands-on engineering capabilities, and experience mentoring small teams.
Experience - 7-11 Years
Location - All EXL location (Hybrid)
Key Responsibilities:
Required Skills & Qualifications:
Preferred Qualifications:
Job ID: 149067595
Skills:
Pyspark, Azure Data Factory, Power Bi, Azure Databricks, Azure Sql, Azure DevOps, Azure Data Lake Storage V2
Skills:
Java, Data Modelling, Google Cloud Platform, Ssrs, RESTful API development, Tableau Server, SSIS, Apache Nifi, Apache Airflow, Ssas, Apache Kafka, Agile, Tableau Desktop, Microsoft Azure, Tsql, Python, AWS, Microsoft SQL Server BI, Cloud Platforms, Master Data Services, Snowflake Cloud Data Warehouse
Skills:
Python, Databricks, AWS, Java, Pyspark
Skills:
S3, Emr, Aws Services, Pyspark, RDS, Spark SQL, Python, Jenkins, Devops Tools, Git, Data Vault 2.0, Snowflake SQL, Glue, Aurora, cloud implementation projects, AWS architecture, AWS cloud microservices, Big Data concepts
Skills:
Data Security, Scala, Apache Spark, Python, NiFi, Cloudera CDP
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