Senior Data Engineer – Data Engineering & Infrastructure – Remote India (5-10 Years Exp )

@AppSierra Solutions posted 13 hours ago
  • Remote - India View on Map
  • Post Date : November 3, 2025
  • Salary: ₹1,500,000.00 - ₹2,400,000.00 / Yearly
  • View(s) 16
Email Job

Job Detail

  • Job ID 60825

Job Description

We are seeking an experienced Senior Data Engineer to design, build, and manage scalable, reliable, and high-performance data systems. The ideal candidate will have strong expertise in modern data engineering tools, cloud technologies, and end-to-end pipeline development. This role requires a hands-on technical leader capable of driving data initiatives, collaborating across teams, and ensuring efficient data delivery and analytics readiness.

Key Responsibilities:

  • Design, develop, and maintain scalable data architectures and ETL/ELT pipelines.
  • Build and orchestrate workflows using Apache Airflow and similar orchestration tools.
  • Implement data ingestion from multiple sources, including REST APIs, GraphQL endpoints, and SFTP servers.
  • Work extensively with big data and stream-processing frameworks such as Apache Spark and Kafka.
  • Manage and optimize cloud-based infrastructure, with strong experience in AWS (EC2, RDS, S3).
  • Use Databricks for large-scale data processing, analytics, and collaboration.
  • Leverage SQLMesh for modern, reliable data workflow management.
  • Ensure data quality, performance, and governance standards across systems.
  • Collaborate with analytics, product, and engineering teams to support business intelligence and data-driven decision-making.

Required Skills & Experience:

  • Minimum 6 years of experience in Data Engineering or similar technical roles.
  • Strong proficiency in Spark, Kafka, and Databricks.
  • Deep understanding of SQL and data modeling principles.
  • Proven experience with AWS Cloud Services (EC2, RDS, S3, Lambda, etc.).
  • Expertise in Airflow for pipeline orchestration and scheduling.
  • Experience integrating external systems via APIs and SFTP.
  • Strong knowledge of SQLMesh and modern data architecture frameworks.
  • Excellent communication, collaboration, and leadership skills.

Preferred Attributes:

  • Experience working in agile data-driven environments.
  • Strong analytical mindset with attention to scalability, performance, and reliability.
  • Passion for automation, innovation, and continuous improvement in data engineering.
Share
     

Other jobs you may like

 
Required 'Candidate' login to applying this job. Click here to logout And try again
 
Scroll to Top
 
Required 'Candidate' login for send message Click here to logout And try again
 
 

Apply for this Job

  • Drop a file or click to upload.
    To upload file size is (Max 5Mb) and allowed file types are (.jpeg, .png, .doc, .docx, .pdf)
    or
    Upload File
 

Answers

 

Account Activation

Before you can login, you must activate your account with the code sent to your email address. If you did not receive this email, please check your junk/spam folder. Click here to resend the activation email. If you entered an incorrect email address, you will need to re-register with the correct email address.