Lead Data Engineer
Job Description
We are seeking a Lead Databricks Engineer.
Experience: 8+ Years
Worked on Databricks for the past 8+ years with good experience in following technologies.
- Pyspark
- pipeline
- git
- sql
- databricks
- databricks workflows
- Preferable experience in AWS platform.
More Info
About Company
Skills:
snowflake , Data Lineage, Metadata Management, Data Modelling, Automated Testing, Informatica, ELT, Data Quality, Git, Databricks, Data Warehousing, Talend, Etl, Airflow, Data Lakes, Luigi, Relational Databases, Deployment Practices, dependency management, Azkaban, Data Lakehouse, NoSQL Databases, Distributed Data Processing
Skills:
snowflake , Data Architecture, Data Modeling, Linux Scripting, Adobe Analytics, Sql, Devops, Data Quality, Powerbi, Azure Data Lake, Databricks, Python, DBT framework, Azure Data Engineering
Skills:
snowflake , Sql, Databricks, Data Warehousing, Cloud, Devops, Jira, Tableau, Power Bi, Etl, Gcp, Git, ELT, Azure Data Factory, Data Visualization, Datadog, AWS, Kubernetes, Python, Servicenow, Azure, Docker, Redshift, Monitoring, Azure Monitor, dbt, Looker, Synapse, CI CD pipelines, Big Query, Ticketing Workflow Tools, Log Analytics, Freshdesk, Azure SQL Server
Skills:
Gcp, Apache Beam, Java, BigQuery, Sql, Data Modeling, Cloud Storage, Dataproc, Kafka, Git, Agile, Python, Spark, Data Quality, Data Governance, Cloud Security, Google Dataflow, ETL/ELT, Batch Processing, Streaming Data Pipelines, Pub/Sub, Cloud Composer, CI/CD, Performance Optimization
Skills:
Azure, Databricks, Azure Sql, Python, Sql, Spark