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Senior Data Engineer

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Onsite

Senior Data Engineer

Intrics Solutions

Senior Data Engineer

Skills

SQL QueriesData EngineeringPythonDatabricksGitPySparkComplianceAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

28 August 2026

What they need


Job Title: Senior Data Engineer

Employment Type:Full Time, Permanent

Position Location: Hyderabad

Reports to:  Software Development Manager (IT Solutions Delivery)

Qualifications:   BE/B.Tech/MCA Degree in Computer Science, Engineering, or similar relevant field

Total Experience:   8-14 years

Working Model:      Work from office
Job Description:

Data Pipeline Development

  • Design and implement end-to-end batch and streaming data pipelines using PySpark and Apache Spark.
  • Build and manage data workflows on Databricks, including Delta Lake architecture and medallion (Bronze/Silver/Gold) patterns.
  • Develop and maintain ETL/ELT processes to ingest, transform, and load data from diverse sources.
  • Optimize Spark jobs for performance, cost-efficiency, and reliability at scale.

Cloud & Azure Services

  • Manage data solutions using Azure services including Azure Data Lake Storage (ADLS Gen2), Azure Event Hubs, and Azure Key Vault.
  • Ensure data security, access control, and compliance within Azure environments.
  • Monitor and troubleshoot cloud infrastructure, pipelines, and data flows.

Data Modeling & SQL

  • Design and implement dimensional and normalized data models for analytical and operational use cases.
  • Write complex SQL queries for data transformation, validation, and reporting.
  • Work with structured, semi-structured, and unstructured data across various storage formats (Parquet, Delta, JSON, CSV).

Required Skill

  • 8+ years of hands-on experience in data engineering roles.
  • Strong expertise in Apache Spark and PySpark for large-scale data processing.
  • Deep experience with Databricks platform workspace setup, clusters, jobs, Delta Live Tables.
  • Strong experience in building Azure Data Factory Pipeline.
  • Proficiency with Azure cloud services for data engineering workloads.
  • Advanced SQL skills including window functions, CTEs, and query optimization.
  • Solid Python programming skills for data engineering, scripting, and automation.
  • Experience with version control (Git) and CI/CD pipelines for data code deployments.
  • Familiarity with data governance, data lineage, and metadata management.

Good to Have

  • Azure Synapse & Azure EventHub are good to have.

Education• Bachelor’s / Master’s degree in Computer Science, Information Technology.

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