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Senior Data Engineer - Python / Data Modeling

Senior Data Engineer - Python / Data Modeling

Techmynd ConsultingGurgaon
30+ days ago
Job description

Senior Data Engineer

Location : Bangalore, Gurugram (Hybrid)

Experience : 4-8 Years

Type : Full Time | Permanent

Job Summary :

We are looking for a results-driven Senior Data Engineer to join our engineering team. The ideal candidate will have hands-on expertise in data pipeline development, cloud infrastructure, and BI support, with a strong command of modern data stacks. You'll be responsible for building scalable ETL / ELT workflows, managing data lakes and marts, and enabling seamless data delivery to analytics and business intelligence teams.

This role requires deep technical know-how in PostgreSQL, Python scripting, Apache Airflow, AWS or other cloud environments, and a working knowledge of modern data and BI tools.

Key Responsibilities :

PostgreSQL & Data Modeling :

  • Design and optimize complex SQL queries, stored procedures, and indexes
  • Perform performance tuning and query plan analysis
  • Contribute to schema design and data normalization

Data Migration & Transformation :

  • Migrate data from multiple sources to cloud or ODS platforms
  • Design schema mapping and implement transformation logic
  • Ensure consistency, integrity, and accuracy in migrated data
  • Python Scripting for Data Engineering :

  • Build automation scripts for data ingestion, cleansing, and transformation
  • Handle file formats (JSON, CSV, XML), REST APIs, cloud SDKs (e.g., Boto3)
  • Maintain reusable script modules for operational pipelines
  • Data Orchestration with Apache Airflow :

  • Develop and manage DAGs for batch / stream workflows
  • Implement retries, task dependencies, notifications, and failure handling
  • Integrate Airflow with cloud services, data lakes, and data warehouses
  • Cloud Platforms (AWS / Azure / GCP) :

  • Manage data storage (S3, GCS, Blob), compute services, and data pipelines
  • Set up permissions, IAM roles, encryption, and logging for security
  • Monitor and optimize cost and performance of cloud-based data operations
  • Data Marts & Analytics Layer :

  • Design and manage data marts using dimensional models
  • Build star / snowflake schemas to support BI and self-serve analytics
  • Enable incremental load strategies and partitioning
  • Modern Data Stack Integration :

  • Work with tools like DBT, Fivetran, Redshift, Snowflake, BigQuery, or Kafka
  • Support modular pipeline design and metadata-driven frameworks
  • Ensure high availability and scalability of the stack
  • BI & Reporting Tools (Power BI / Superset / Supertech) :

  • Collaborate with BI teams to design datasets and optimize queries
  • Support development of dashboards and reporting layers
  • Manage access, data refreshes, and performance for BI tools
  • Required Skills & Qualifications :

  • 4-6 years of hands-on experience in data engineering roles
  • Strong SQL skills in PostgreSQL (tuning, complex joins, procedures)
  • Advanced Python scripting skills for automation and ETL
  • Proven experience with Apache Airflow (custom DAGs, error handling)
  • Solid understanding of cloud architecture (especially AWS)
  • Experience with data marts and dimensional data modeling
  • Exposure to modern data stack tools (DBT, Kafka, Snowflake, etc.)
  • Familiarity with BI tools like Power BI, Apache Superset, or Supertech BI
  • Version control (Git) and CI / CD pipeline knowledge is a plus
  • Excellent problem-solving and communication skills
  • ref : hirist.tech)

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