Data Engineer
Job Description
Snowflake Data Engineer
Locations: Hyderabad | Bengaluru | Pune
We are looking for a skilled Data Engineer to build and maintain scalable data pipelines and cloud data warehouse solutions.
Key Responsibilities
- Develop and maintain data pipelines using Snowflake.
- Write and optimize complex SQL queries.
- Perform data ingestion, transformation, and integration.
- Develop workflows using Apache Airflow.
- Build and manage transformation models using dbt.
- Optimize Snowflake performance and data processing.
- Ensure data quality, reliability, and availability.
- Collaborate with data engineering and analytics teams.
Must-Have Skills
- Snowflake
- Advanced SQL
- Python
- Airflow
- dbt
- Data Warehousing
- ETL/ELT & Data Pipelines
More Info
Key Skills
About Company
Skills:
Cloud Computing, Cloud security, Data Modeling, Data Warehousing, Compliance, Scalability optimization, Access controls, Caching, Snowflake platforms, Data partitioning, ETL processes, Data encryption, Data engineering principles
Skills:
Azure Data Factory, Power Bi, Pyspark, Azure Databricks, Dax, Sql, Python
Skills:
process mining , snowflake , Java, BigQuery, PostgreSQL, SQL Server, Sql, Data Integration, Etl Tools, Rest Apis, Oracle, Azure, Python, AWS, Automation platforms, Data Pools, Relational Databases, Analyses, Orchestration tools, Celonis, transformations, data models
Skills:
snowflake , kimball methodologies , Github, Sql, Dimensional Modeling, Python, Airflow, Data Vault concepts, Medallion Architecture, dbt, Data modeling concepts, Fivetran
Skills:
Apache Spark, Apache Airflow, Azure Synapse, Databricks, Kubernetes, Unix Shell Scripting, Couchbase NoSQL databases, ETL development and orchestration, Advanced SQL development and performance tuning, Apache Druid, Data migration to cloud platforms, Stambia, Python for ETL orchestration and automation, Data Platform Management, Agile delivery methodologies, Big Data Engineering, JSON API-based integrations