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About the job
Job Description
Hiring: Cloud Data Engineer | Remote | Full-Time | Immediate Joiner
Company: Natlov Technologies Pvt. Ltd
Experience: 1–2 years
CTC:3.6 LPA– 4.8 LPA
Natlov Technologies Pvt. Ltd is looking for a Cloud Data Engineer with strong AWS expertise and working experience in Azure. In this role, you will design, build, and optimize scalable data pipelines across multi-cloud environments using tools like Airflow, AWS Glue, Azure Data Factory, Databricks, BigQuery, and Redshift.
If you enjoy architecting reliable data systems and solving complex cloud data challenges, this opportunity is for you.
Key Skills:-
Cloud: AWS, Azure
SQL- Strong
Snowflake-Strong
Stored procedure- Strong
Excel analysis
ETL-Basic
Data modelling - Deep knowledge
Pipeline Orchestration: Apache Airflow, AWS Glue, Azure Data Factory
Databases & Storage: MySQL, BigQuery, ADLS, S3, Azure SQL
Data Warehousing: Redshift, Azure Synapse (Snowflake is a plus)
Big Data: Databricks (Spark, Delta Lake)
Programming: Python
What You'll Do
Job ID: 141285949
Skills:
Hadoop, Pyspark, AWS Glue, Kafka, Redshift, Sql, Data Quality, Dynamo Db, Iam, Spark, Data Architecture, AWS SNS, Data Warehousing, Python, Aws S3, Data Lakes, Data Pipelines, Dms, Cloud Optimization
Skills:
Jenkins, Pytest, PostgreSQL, Databricks, Python, Sql, Azure DevOps, AWS
Skills:
BigQuery, Hadoop, Apache Airflow, Spark, Apache Beam, Python, Cloud Spanner, CloudSQL, Google DataProc, Big Table, Pubsub, Google DataFlow, Google Cloud Ecosystem, AlloyDB, Cloud Composer, dbt, Google Cloud Storage
Skills:
BigQuery, Gcp, Pyspark, Apache Spark, DataFlow, Sql, Python, Pub Sub, Big Data concepts, Cloud Storage GCS
Skills:
python, Qgis, Postgis, PostgreSQL, Fme, Scripting, Sql, Etl, Trino SQL, Arcgis
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