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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:
Apache Airflow, Spark, Apache Beam, Python, Data Platform Management, Data Layer Design, dbt, Google Cloud Ecosystem, Google Cloud Services, Data Pipeline Development
Skills:
Power Bi, Pyspark, Kafka, Data Modeler, Sql, Microservices, Data Scientist, Databricks, Splunk, Python, AWS, Statistical skill, Smart Comm Developer, AWS DevOps Engineer
Skills:
BigQuery, Logging, Tableau, Sql, Gcp, App Engine, Python, GCP IAM, Looker, Monitoring, Production Support, AI LLM applications, Spanner, batch streaming pipelines
Skills:
data engineering , Data Transformation, Power Bi, Data Modeling, Sql, ELT, Git, Microsoft Azure, Python, Etl, Azure DevOps, table maintenance, data quality checks, OneLake, data pipelines, schema validation, Spark notebooks, cloud data platforms, ADF pipelines, Lakehouse tables, Microsoft Fabric
Skills:
BigQuery, Hadoop, Pyspark, Data Warehousing, Bash, Sparksql, Dataproc, Sql, Cloud Storage, Hive, Gcp, Iam, DataFlow, Python, Airflow, DataFrame, Pub Sub