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2 Days ago

Sr. Data Engineer

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800000 - 1600000 INR - Yearly
Pune, Maharashtra, India
Finance & Banking
Full-Time
Brainly Academy

Overview

Role: Sr. Data Engineer

Location: Indore, Madhya Pradesh

Experience: 7-10 Years

Job Type: Full-time

Job Summary:

As a Data Engineer with a focus on Python, you'll play a crucial role in designing, developing, and maintaining data pipelines and ETL processes. You will work with large-scale datasets and leverage modern tools like PySpark, Airflow, and AWS Glue to automate and orchestrate data processes. Your work will support critical decision-making by ensuring data accuracy, accessibility, and efficiency across the organization

Key Responsibilities:

  • Design, build, and maintain scalable data pipelines using Python.
  • Develop ETL processes for extracting, transforming, and loading data.
  • Optimise SQL queries and database schemas for enhanced performance.
  • Collaborate with data scientists, analysts, and stakeholders to understand data needs.
  • Implement and monitor data quality checks to resolve any issues. Automate data processing tasks with Python scripts and tools.
  • Ensure data security, integrity, and regulatory compliance.
  • Document data processes, workflows, and system designs.

Primary Skills:

  • Python Proficiency: Experience with Python, including libraries such as Pandas, NumPy, and SQLAlchemy.
  • PySpark: Hands-on experience in distributed data processing using PySpark.
  • AWS Glue: Practical knowledge of AWS Glue for building serverless ETL pipelines.
  • SQL Expertise: Advanced knowledge of SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
  • Data Pipeline Development: Proven experience in building and maintaining data pipeline and ETL processes.
  • Cloud Data Platforms: Familiarity with cloud-based platforms like AWS Redshift, Google BigQuery, or Azure Synapse
  • Data Warehousing: Knowledge of data warehousing and data modelling best practices.
  • Version Control: Proficiency with Git.

Preferred Skills:

  • Big Data Technologies: Experience with tools like Hadoop or Kafka
  • Data Visualization: Familiarity with visualisation tools (e.g., Tableau, Power BI).
  • DevOps Practices: Understanding of CI/CD pipelines and DevOps practices.
  • Data Governance: Knowledge of data governance and security best practices.

Job Type: Full-time

Pay: ₹800,000.00 - ₹1,600,000.00 per year

Work Location: In person

Application Deadline: 30/07/2025
Expected Start Date: 19/07/2025

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