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6 Days ago

Senior Data Engineer

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1800000 - 2200000 INR - Yearly
Bangalore, Karnataka, India
Information Technology
Full-Time
Bluetick Consultants

Overview

Senior Data Engineer
Location: Hyderabad / Remote
Experience: 6+ years
Employment Type: Full-time

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data processing solutions. The ideal candidate will have deep expertise in ETL/ELT development, cloud platforms (Azure or AWS), and strong skills in Python, SQL, and Spark. This role involves enabling advanced analytics and data-driven decision-making across the organization by ensuring clean, reliable, and high-performance data systems.

Responsibilities

  • Design, develop, and maintain ETL/ELT pipelines for multi-source data ingestion and transformation.
  • Build and optimize cloud-native data processing frameworks using Azure Synapse, Databricks, or equivalent AWS services.
  • Develop robust data models ensuring quality, consistency, and governance across the ecosystem.
  • Write and optimize complex SQL queries and Spark jobs for efficient data processing.
  • Collaborate with Data Scientists, Analysts, and Architects to deliver trusted datasets for analytics and reporting.
  • Automate workflows to improve scalability, performance, and reliability.
  • Monitor and troubleshoot pipelines to ensure smooth and efficient operations.

Requirements

  • 6–8 years of proven experience in Data Engineering or Big Data development.
  • Strong proficiency in Python and advanced SQL.
  • Hands-on experience with Apache Spark and cloud data platforms (Azure Synapse, Azure Data Factory, Databricks, or AWS Glue).
  • Solid understanding of ETL/ELT processes, data warehousing, and data lake architectures.
  • Familiarity with version control (Git) and data orchestration tools (Airflow, ADF, Prefect).
  • Knowledge of data governance, security, and performance optimization best practices.

Preferred Qualifications

  • Experience with Azure Data Lake, AWS Redshift, or similar technologies.
  • Exposure to real-time data streaming (Kafka, Event Hubs).
  • Familiarity with DevOps and Infrastructure-as-Code (Terraform, ARM templates).
  • Cloud certifications such as Microsoft Azure Data Engineer Associate or AWS Data Analytics Specialty.
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