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Open nowFirst seen 79 days ago

Senior Data Engineer

Toppan Merrill15 open roles

Where
Chennai- Ascendas IT Park
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Your applicationOpen nowSenior Data EngineerToppan Merrill · Chennai- Ascendas IT Park

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The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. Toppan Merrill postings stay open a median of 9 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: first seen 79 days ago

Toppan Merrill median: 9 days open

The posting

Job Description:

Responsibilities:

  • Develop & Optimize Data PipelinesBuild, test, and maintain ETL/ELT data pipelines using Azure Databricks & Apache Spark (PySpark). Optimize performance and cost-efficiency of Spark jobs. Ensure data quality through validation, monitoring, and alerting mechanisms. Understand cluster types, configuration, and use-case for serverless
  • Implement Unity Catalog for Data GovernanceDesign and enforce access control policies using Unity Catalog. Manage data lineage, auditing, and metadata governance. Enable secure data sharing across teams and external stakeholders.
  • Integrate with Cloud Data PlatformsWork with Azure Data Lake Storage / Azure Blob Storage/ Azure Event Hub to integrate Databricks with cloud-based data lakes, data warehouses, and event streams. Implement Delta Lake for scalable, ACID-compliant storage.
  • Automate & Orchestrate WorkflowsDevelop CI/CD pipelines for data workflows using Azure Databricks Workflows or Azure Data Factory. Monitor and troubleshoot failures in job execution and cluster performance.
  • Collaborate with StakeholdersWork with Data Analysts, Scientists, and Business Teams to understand requirements. Translate business needs into scalable data engineering solutions.
  • API expertiseAbility to pull data from a wide variety of APIs using different strategies and methods

Required Skills & Experience:

  • Azure Databricks & Apache Spark (PySpark) – Strong experience in building distributed data pipelines.
  • Python – Proficiency in writing optimized and maintainable Python code for data engineering.
  • Unity Catalog – Hands-on experience implementing data governance, access controls, and lineage tracking.
  • SQL – Strong knowledge of SQL for data transformations and optimizations.
  • Delta Lake – Understanding of time travel, schema evolution, and performance tuning.
  • Workflow Orchestration – Experience with Azure Databricks Jobs or Azure Data Factory.
  • CI/CD & Infrastructure as Code (IaC) – Familiarity with Databricks CLI, Databricks DABs, and DevOps principles.
  • Security & Compliance – Knowledge of IAM, role-based access control (RBAC), and encryption.

Preferred Qualifications:

  • Experience with MLflow for model tracking & deployment in Databricks.
  • Familiarity with streaming technologies (Kafka, Delta Live Tables, Azure Event Hub, Azure Event Grid).
  • Hands-on experience with dbt (Data Build Tool) for modular ETL development.
  • Certification in Databricks, Azure is a plus.
  • Experience with Azure Databricks Lakehouse connectors for SalesForce and SQL Server
  • Experience with Azure Synapse Link for Dynamics, dataverse
  • Familiarity with other data pipeline strategies, like Azure Functions, Fabric, ADF, etc

Soft Skills:

  • Strong problem-solving and debugging skills.
  • Ability to work independently and in teams.
  • Excellent communication and documentation skills.
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