Data Engineer
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Note
4 days onsite/1 day remote @ chennai
Immediate Joiner/Serving Notice Period
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Skills Required
Google Cloud Platform: BigQuery, Dataflow, Dataproc, Data Fusion, Cloud SQL
• Workflow & Orchestration: Airflow, Tekton
• Infrastructure as Code: Terraform
• Programming: Python, PySpark, Node.js
• Databases: PostgreSQL
• Other Tools: APIs, GitHub
Experience - 6+Years
Tech - Core Expertise
• Building scalable data pipelines and workflows
• Designing data infrastructure for large-scale data processing
• Developing and optimizing data warehouses, data lakes, and lakehouse architectures
• Curating and preparing data for ML and statistical models
• Automating data engineering tasks using Python and modern orchestration toolsical Skills
Job ID: 144358941
Skills:
Pyspark, Gcp, Scala, Kafka, Dataproc, BQ, Airflow
Skills:
Pyspark, Azure Databricks, Sql, Encryption, Azure Data Factory, Terraform, Azure Synapse Analytics, Data Governance, Arm, Python, Azure DevOps, Azure Purview, ADLS Gen2, Compliance, Security, rbac, CI CD pipelines, Delta Lake, Bicep, Infrastructure-as-Code
Skills:
BigQuery, Data Modeling, Ci, Kafka, Sql, ELT, Apache Airflow, Git, Gcp, Docker, Python, Kubernetes, Etl, cd, Google Cloud Composer
Skills:
BigQuery, DataFlow, Advanced Sql, Python, Logging, Dataform, Batch and streaming data processing, Data Catalog, Cloud Monitoring, Data lakehouse architecture concepts, Pub Sub, Dataplex, IAM Security controls, Java or Scala, Data ingestion frameworks, Analytics Hub, Data modeling and warehousing principles, CDC and incremental processing
Skills:
snowflake , Kafka, Automated Testing, Data Modeling, ELT, Python, AWS, Apis, Sql, Google Cloud, Spark, Databricks, Azure, Etl, Airflow, Reconciliation, traceability controls, industrial historians, OPC-UA, IEC protocols, Modbus, data-quality validation, dbt, SCADA systems, lineage monitoring, error handling
