Data Engineering Lead: Azure & Databricks Expert

Aryan-Solutions-Pte.-Ltd.

Singapore

On-site

SGD 120,000 - 180,000

Full time

11 days ago
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Job summary

Aryan-Solutions-Pte.-Ltd. in Singapore is seeking a Data Lead - Data Engineering to oversee enterprise data platforms supporting large-scale ETL and batch processing.

You will drive diagnostics, optimisation and stabilisation of data pipelines, collaborating with data engineers, architects and business teams to ensure production readiness and reliability. The role involves hands-on work with ADF, Databricks, SSIS and SQL Server, plus batch orchestration tools, monitoring, and performance tuning

Qualifications

  • Extensive experience in building and optimising ETL/ELT pipelines.
  • Strong SQL development and performance-tuning skills.
  • Hands-on with batch orchestration tools (Control-M/Autosys).
  • Experience with cloud data platforms and monitoring (Azure Monitor).
  • Familiarity with large-scale data processing and data quality practices.

Responsibilities

  • Drive diagnostics, optimisation and stabilisation of enterprise data platforms.
  • Review and optimise ADF pipelines, SSIS packages and Databricks workflows.
  • Analyse batch scheduling, dependencies, triggers and SLA adherence.
  • Investigate and resolve pipeline failures and runtime issues for faster recovery.
  • Collaborate with data engineers, architects and business teams to ensure production stability.

Skills

ADF
Databricks
SSIS
SQL Server
Control-M
Autosys
SQL development
Performance tuning
Monitoring
PySpark
Spark SQL

Tools

Azure Data Factory
Databricks

Job description

Aryan-Solutions-Pte.-Ltd. in Singapore is seeking a Data Lead - Data Engineering to oversee enterprise data platforms supporting large-scale ETL and batch processing.

You will drive diagnostics, optimisation and stabilisation of data pipelines, collaborating with data engineers, architects and business teams to ensure production readiness and reliability. The role involves hands-on work with ADF, Databricks, SSIS and SQL Server, plus batch orchestration tools, monitoring, and performance tuning

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