Data Engineer
Data Engineer
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Job Description
About The Role
You'll be at the forefront of designing and implementing robust data platform solutions that power advanced analytics, AI, and machine learning. Working with modern cloud technologies, you'll build scalable data foundations that enable clients to make smarter, data-driven decisions.
Key Responsibilities
Our client helps organizations unlock the power of data through modern cloud, analytics, and AI solutions. We believe in creating an environment where talented technologists can learn, innovate, and make a real impact while building cutting-edge data platforms for global clients. If you're passionate about data engineering and want to work with the latest technologies in AI, cloud, and analytics, we'd love to hear from you.
Skills:- Python, SQL, Amazon Web Services (AWS), Google Cloud Platform (GCP), Windows Azure and Snow flake schema
You'll be at the forefront of designing and implementing robust data platform solutions that power advanced analytics, AI, and machine learning. Working with modern cloud technologies, you'll build scalable data foundations that enable clients to make smarter, data-driven decisions.
Key Responsibilities
- Build scalable data pipelines using Snowflake, AWS, GCP, and Databricks.
- Design and optimize data models for AI and machine learning workloads.
- Develop reliable data foundations for MLOps, governance, and data lineage.
- Integrate data from multiple sources into modern data platforms.
- Leverage Snowpark ML and Snowflake's native AI capabilities.
- Ensure data platforms are secure, scalable, and high-performing.
- 3+ years of hands-on experience
- Strong proficiency in SQL and Python.
- Experience with AWS, Azure, or GCP.
- Knowledge of cloud storage services such as S3, ADLS, or GCS.
- Strong understanding of Dimensional Modeling and Data Vault.
- Experience with Scala or Java is a plus.
- Data Warehouse: Snowflake
- Programming: SQL, Python, Scala (Good to Have), Java (Good to Have)
- Cloud: AWS, Azure, GCP
- Storage: S3, ADLS, GCS
- AI/ML: Snowpark ML, MLOps
- Public Speaking & Communication Program
- Mentoring Program with Senior Support Leads
- 360° Progress Reviews
- Weekly Learning Sessions & Guilds
- Paid Certifications
- Hackathons & Innovation Days
- Recognition & Rewards Programs
- Team Socials & Annual Offsites
- Employee Assistance Program (24/7 Wellbeing Support)
Our client helps organizations unlock the power of data through modern cloud, analytics, and AI solutions. We believe in creating an environment where talented technologists can learn, innovate, and make a real impact while building cutting-edge data platforms for global clients. If you're passionate about data engineering and want to work with the latest technologies in AI, cloud, and analytics, we'd love to hear from you.
Skills:- Python, SQL, Amazon Web Services (AWS), Google Cloud Platform (GCP), Windows Azure and Snow flake schema
More Info
Key Skills
About Company
Skills:
RAG (Retrieval-Augmented Generation), Azure Data Factory (ADF), Pyspark, Azure Sql, Sql, ELT, Devops, Azure Synapse Analytics, Azure Data Lake, Spark, Cosmos DB, Python, Etl, Fabric Lakehouse architectures, Infrastructure as Code, vector databases, CI/CD pipelines, Microsoft Fabric, Azure AI Search
Skills:
Aws Redshift, Data Modeling, Automated Testing, Scala, Apache Spark, ELT, Azure Synapse, Gcp, Databricks, Data Warehousing, Azure, Python, AWS, Etl, Lakehouse Architecture, Google BigQuery, Unity Catalog, Delta Lake, CI/CD, Infrastructure-as-Code, Observability, Databricks Workflows
Skills:
snowflake , Java, BigQuery, Scala, Kafka, Redshift, Sql, Git, Gcp, Kinesis, Spark, Azure, Python, AWS, Airflow, Alation, Flink, Atlan, Prefect, dbt, Dagster, CI/CD
Skills:
Azure Functions, Sql, Python, Azure Data Factory, Azure Databricks, Pyspark, ADLS, Synapse, Databricks notebooks
Skills:
Sql, Azure Databricks, Pyspark, Azure DevOps, Spark, Event Hub, Delta Lake