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Senior Data Engineer (GCP) Please find the requirements below:
Role: Senior Data Engineer – GCP
Experience: 6 to 10 Years
Notice Period: Maximum 60 days
Work Location: Bengaluru, Hyderabad, Pune, Chennai, Delhi, Kolkata, Kochi
Must-Have Skills • 6+ years of experience as a Senior Data Engineer on Google Cloud Platform (GCP) • Minimum 5+ years of hands-on experience with BigQuery, Pub/Sub, Dataflow, Composer (DAGs), and Airflow • Strong SQL skills with the ability to translate complex business scenarios into optimized queries • ExperiSenior Data Engineer (GCP)
Must-Have Skills
• 6+ years of experience as a Senior Data Engineer on Google Cloud Platform (GCP)
• Minimum 5+ years of hands-on experience with BigQuery, Pub/Sub, Dataflow,
Composer (DAGs), and Airflow
• Strong SQL skills with the ability to translate complex business scenarios into
optimized queries
• Experience in data modeling and data mapping
• Hands-on experience with Google Cloud SDK & API scripting
• Strong programming expertise in Python
Good-to-Have Skills
• Experience working in Agile and DevOps environments.
• Prior experience in the Retail domain will be an added advantageence in data modeling and data mapping • Hands-on experience with Google Cloud SDK & API scripting • Strong programming expertise in Python Good-to-Have Skills • Experience working in Agile and DevOps environments • Prior experience in the Retail domain will be an added advantage
Job ID: 149371119
Skills:
Python, Sql, MongoDB, Cassandra, PostgreSQL, ETL Processes
Skills:
Power Bi, PowerShell, SSIS, Azure Synapse, Vbscript, Ssas, Vba, Azure Data Lake, DevOps practices, Windows Server 2019 2022, Azure Data Factory ADF, CI CD pipelines, ETL ELT development, SQL Server 2019 2022
Skills:
snowflake , Apis, Power Bi, Adf, Data Modeling, SSIS, Sql, Data Governance, Databricks, Data Integration, Azure, Python, Etl, data quality frameworks
Skills:
Apache Flink, Docker, Kubernetes, Python, Sql, Vertex AI
Skills:
data engineering , graph databases , object storage , S3, AWS Glue, Emr, Data Modeling, Redshift, Lambda, Kinesis, Warehousing, FireHose, column-family databases, data stores, key-value stores, AWS technologies, IAM roles and permissions, non-relational databases, ETL pipelines
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