Data Engineer

ZScale • Blockchain & Crypto • Python • SQL • Power BI • ETL/ELT • Informatica • Azure Data Factory • 3 hours ago
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Salary
≈ $29k – $54k per year (Estimated)
Location
Remote (India)
Experience
10+ years exp

First seen by Alion on Oct 25, 2026.

Overview
Company
Impact
Profile match

ZScale

Z-Scale LLC delivers enterprise technology consulting, cloud architecture, application modernization, and senior IT talent staffing that ships on schedule.
zscalellc.com • IT Consulting & Digital Transformation • IT Staffing & Staff Augmentation • Information Technology

Requirements:

  • Core skills: Azure Cloud, Databricks workflows, DLT (Delta Live Table), Notebooks, Python, SQL, PySpark, ADLS Gen2 ADF, GitHub, PL/SQL, ORACLE, ETL experience, understanding of Delta Lake architecture, CDC patterns, Informatica, and Lakehouse.
  • Ability to design and orchestrate data pipelines using Databricks Workflows and DLT, and a strong understanding of Medallion Architecture.
  • Expertise in developing Databricks notebooks for scalable solutions using Python, SQL, and PySpark.
  • Understanding of Delta Lake architecture, CDC patterns, and Lakehouse.
  • Strong understanding of Delta table key features like ACID-compliant Delta tables, time travel, schema enforcement, and deep and shallow clones.
  • Performance tuning using Liquid clustering, partitioning, Z-ordering, and data skipping in delta tables.
  • Knowledge on data governance (Unity Catalogue), data security (RBAC, fine-grained access control), and data sharing (Delta Sharing).
  • Proficient in working with Azure Data Lake Storage Gen2 (ADLS Gen2), Azure Data Factory (ADF), and Terraform for provisioning and management of Azure resources.
  • Knowledge of dealing with Spark streaming and auto-loaders in Databricks.
  • Strong experience in analysing and understanding legacy Informatica ETL workflows, including mappings, transformations, and data flow logic, to support seamless migration to Databricks-based data pipelines.
  • Hands-on experience in implementing CI/CD pipelines using Jenkins to automate the deployment of Databricks notebooks, jobs, and data workflows.
  • Integrating GitHub with Databricks Repos to enable seamless code synchronisation, change tracking, and automated deployment workflows.
  • knowledge of Snowflake, Oracle, MySQL, and Shell scripting for diverse data integration.
  • Knowledge of Power BI and Azure Synapse Analytics for data analytics dashboards and reports.


Skills:

  • Cloud Platform: Azure (ADLS Gen2 ADF) Terraform.
  • Data Platform: Databricks (Workflows, DLT, Notebooks).
  • Languages/Frameworks: Python, SQL, PySpark, PL/SQL, Shell Scripting.
  • Architecture: Delta Lake, Medallion Architecture, Lakehouse ETL/ELT.
  • DevOps/CI/CD: GitHub, Jenkins, Databricks Repos.
  • Data Governance: Unity Catalogue, Delta Sharing.
  • Databases: Oracle, ADLS Gen2 Snowflake, MySQL.
  • Analytics: Azure Synapse Analytics, Power BI.

Skills

databricks, elt, etl, pyspark, python

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