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Software Engineer - Data Modeling & Analytics

Software Engineer - Data Modeling & Analytics

TalproKarnataka
30+ days ago
Job description

About Us :

Talpro is leading the way in transforming the talent acquisition landscape.

We deliver innovative, sustainable, and cost-effective recruitment solutions tailored to todays business needs.

Our mission is to offer comprehensive hiring strategies that address immediate recruitment demands while laying the groundwork for long-term success.

Job Description :

Job Title : Software Engineer : Premium / Emerging 4 (10+ Years Experience)

Location : Bangalore (BLR)

Work Mode : Hybrid /

Role Type : Permanent (Talpro)

Notice Period : Immediate Joiner

Mandatory Skills :

  • Data Modelling (Relational, Analytical, OLTP & OLAP systems)
  • Strong SQL Development
  • Snowflake (Data Warehousing & Performance Tuning)
  • Python (for data handling, scripting, automation)
  • AWS Cloud Services (S3, Lambda, Redshift, etc.)
  • NoSQL Databases (e.g., DynamoDB, MongoDB)

Secondary or Good to Have Skills :

  • NoSQL Data Modelling
  • Data Governance, Cataloging Tools (e.g., Alation, Collibra)
  • Experience with metadata management and enterprise architecture standards
  • ETL tools and data pipeline orchestration
  • Years of Experience : 10+ Years

    Job Summary :

    We are seeking a highly experienced Software Engineer (Premium / Emerging 4 level) with over 10 years of experience in data modeling, SQL, Snowflake, Python, and AWS-based data architecture.

    This role is ideal for a technically strong individual who has led large-scale data platform initiatives and possesses a deep understanding of data structures, modeling practices, and cloud-native solutions.

    Key Responsibilities :

  • Design, implement, and optimize scalable data models for both structured (SQL) and semi / unstructured (NoSQL) data systems.
  • Build and maintain Snowflake data warehouses, applying best practices for data performance, governance, and cost optimization.
  • Develop data processing scripts and utilities using Python for ingestion, transformation, and automation.
  • Work on AWS infrastructure to support data lake, pipeline, and data warehousing environments.
  • Collaborate with architecture and data engineering teams to define data standards, modeling frameworks, and reusable components.
  • Apply advanced data modeling principles to support historical, time-series, and real-time data requirements.
  • Maintain documentation, metadata, and data lineage using governance tools (where applicable).
  • Provide technical leadership on data architecture decisions and mentor junior engineers in modeling practices.
  • Required Qualifications :

  • Bachelors or Masters degree in Computer Science, Data Engineering, or a related field.
  • 10+ years of industry experience with a strong focus on data modeling and analytics.
  • Proven experience working with Snowflake and building data solutions on AWS.
  • Strong programming skills in Python with a clear understanding of its application in data workflows.
  • Solid understanding of NoSQL data models and implementation techniques.
  • Excellent problem-solving and communication skills, with the ability to articulate complex technical ideas
  • (ref : hirist.tech)

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