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We are seeking a Data Engineer to design, optimize, and enhance enterprise-grade Data Analytics solutions on Microsoft Azure. The ideal candidate will have deep expertise in Azure data services including Azure Databricks, Azure Data Factory (ADF), and Azure Data Lake Storage Gen2 (ADLS Gen2), along with strong CI/CD implementation experience.
This role requires hands-on technical leadership, architecture ownership, and the ability to mentor engineering teams while driving best practices in data engineering and DevOps.
Roles & Responsibility
Job ID: 149318689
Skills:
Backend Development, Pyspark, Data Modeling, Azure, Building data pipelines, Data environments transformation
Skills:
Data Quality, Advanced Sql, Spark, Data Governance, Python, AWS, Airflow, Data pipeline automation
Skills:
snowflake , Java, Scala, Apache Spark, Tableau, Sql, Apache Nifi, Apache Airflow, Hive, Presto, Databricks, Python, Business Objects, Flink, Looker, Microstrategy
Skills:
snowflake , Oauth, BigQuery, PostgreSQL, Data Modeling, Redshift, Sql, ELT, Data Quality, Encryption, Gcp, Python, Etl, auditability, Airflow, pgvector, Cloud Run, Dagster, dbt, data isolation
Skills:
snowflake , Metadata Management, Data Architecture, Kafka, Schema Design, Big Data Technologies, Docker, Python, AWS, Java, Hadoop, Data Modelling, Scala, Sql, Spark, Data Governance, Data Warehousing Concepts, Databricks, Kubernetes, Airflow, feature engineering workflows, data optimization, ETL processes, AI ML data pipelines, distributed data processing systems, DevOps practices, NoSQL databases, Monitoring, data ingestion frameworks, infrastructure-as-code, Troubleshooting
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