V
Data Engineer
V
- Posted 3 days ago
- Be among the first 30 applicants
Job Description
Job Requirements
Experience with cloud data platforms (Azure, AWS, GCP); Exposure to real-time data streaming and
event-driven architectures; Experience supporting AI/ML pipelines and analytics workloads is highly
preferred; Experience in regulated industries such as banking or financial services is an advantage.
Required Skills
Data Engineering, ETL/ELT, Data Modeling, SQL, Python/Scala, Big Data Processing
(Spark/Hadoop), Data Warehousing, Data Lakes, Streaming (Kafka/Event Hubs), Cloud Data
Platforms, Data Governance, Data Quality, Performance Optimization, Problem Solving,
Debugging, Integration Design, Collaboration
Preferred Tools And Certifications
Data Platforms: Azure Data Factory, AWS Glue, Google Dataflow, Databricks
Processing: Apache Spark, Hadoop
Databases: SQL Server, PostgreSQL, MySQL, Snowflake, BigQuery
Streaming: Kafka, Azure Event Hubs; Programming: Python, Scala
Orchestration: Airflow; Version Control: Git; DevOps: CI/CD tools (Azure DevOps, Jenkins)
Monitoring: Azure Monitor, Prometheus, Grafana
Certifications: Azure Data Engineer Associate, AWS Data Analytics, Google Professional Data
Engineer, Databricks certification (preferred)
Work Experience
7-10Years
Experience with cloud data platforms (Azure, AWS, GCP); Exposure to real-time data streaming and
event-driven architectures; Experience supporting AI/ML pipelines and analytics workloads is highly
preferred; Experience in regulated industries such as banking or financial services is an advantage.
Required Skills
Data Engineering, ETL/ELT, Data Modeling, SQL, Python/Scala, Big Data Processing
(Spark/Hadoop), Data Warehousing, Data Lakes, Streaming (Kafka/Event Hubs), Cloud Data
Platforms, Data Governance, Data Quality, Performance Optimization, Problem Solving,
Debugging, Integration Design, Collaboration
Preferred Tools And Certifications
Data Platforms: Azure Data Factory, AWS Glue, Google Dataflow, Databricks
Processing: Apache Spark, Hadoop
Databases: SQL Server, PostgreSQL, MySQL, Snowflake, BigQuery
Streaming: Kafka, Azure Event Hubs; Programming: Python, Scala
Orchestration: Airflow; Version Control: Git; DevOps: CI/CD tools (Azure DevOps, Jenkins)
Monitoring: Azure Monitor, Prometheus, Grafana
Certifications: Azure Data Engineer Associate, AWS Data Analytics, Google Professional Data
Engineer, Databricks certification (preferred)
Work Experience
7-10Years
More Info
Key Skills
Data Lakes
Big Data Processing
Event Hubs
Cloud Data Platforms
About Company
Skills:
S3, Aws Services, Scala, Apache Spark, Emr, Redshift, Lambda, Kinesis, Cloudwatch, Iam, Glue, Athena
Skills:
snowflake , Performance Tuning, Data Modeling, Numpy, Query Optimization, Python, Version Control, Git, Pandas, Advanced Sql, Etl, Master-data governance, Schema modeling, Optimization, Workflow orchestration, Scikit-Learn, Cloud data warehouses, Lineage tracking, Normalization, Programming Automation, System-integration architecture, Tesseract OCR, Hadoop ecosystems, MCP design, ELT pipeline development, CI CD practices, Data Architecture Engineering, Relational Database Design
Skills:
Adf, Pyspark, Databricks, Data Engineer, Azure, Python, Sql
Skills:
.NET, Bdd, Nodejs, Angular, Tensorflow, Nosql, React, Pytorch, Docker, Terraform, Selenium, Python, Java, Rust, Big Data, Sql, Gherkin, MLops, Databricks, Cucumber, Kubernetes, LangFuse, LangSmith, LangGraph, LangChain, Playwright, LLMOps
Skills:
data engineering , snowflake , PostgreSQL, Data Integration, ELT, Apache Airflow, MySQL, Oracle, Python, AWS, Java, BigQuery, Data Modelling, Hadoop, Scala, SQL Server, Apache Spark, Redshift, Sql, Data Quality, Gcp, Databricks, Data Warehousing, Azure, Etl, Prefect