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Open nowPosted 116 days ago

Data Engineer

brndme.in49 open roles

Where
Bangalore
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Your applicationOpen nowData Engineerbrndme.in · Bangalore

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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: posted 116 days ago

The posting

Role Summary

We are looking for a Data Engineer with 3–6 years of experience who thrives on solving complex data problems, building scalable data systems, and enabling high-quality analytics across the organization.

This role will play a critical part in onboarding newly acquired brands, integrating diverse data ecosystems, and building reliable, scalable data infrastructure that powers decision-making across business, product, and operations.

Key Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL/ELT workflows for batch and near real-time processing
  • Develop and optimize data models, schemas, and warehouse structures for analytics, reporting, and downstream applications
  • Build robust data ingestion frameworks integrating multiple sources including databases, APIs, SaaS tools, and third-party platforms
  • Implement data transformation, validation, and quality checks for partially structured and unstructured datasets
  • Perform root-cause analysis on data issues, ensuring reliability, accuracy, and observability of pipelines
  • Build and manage data infrastructure on cloud platforms, optimizing performance and cost
  • Collaborate closely with product managers, analysts, data scientists, and engineering teams to deliver business-ready datasets
  • Enable secure data access, governance, and documentation across systems
  • Contribute to standardized onboarding and migration frameworks for integrating newly acquired brands into Mensa’s data platfor

Required Skills & Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field
  • 3–6 years of hands-on experience in data engineering or backend data systems
  • Strong proficiency in SQL and relational databases (PostgreSQL, MySQL, etc.)
  • Strong programming skills in Python (preferred), with exposure to Java or Scala
  • Hands-on experience building ETL/ELT pipelines and data transformation frameworks
  • Experience with cloud data platforms and warehousing such as Amazon Redshift, BigQuery, or Snowflake
  • Practical experience with AWS ecosystem, especially:AWS Glue / Glue Jobs Amazon S3 Redshift Lambda / Step Functions (nice to have)
  • Experience working with big data processing frameworks such as Apache Spark
  • Strong understanding of data modeling, partitioning, indexing, and performance tuning
  • Familiarity with Git-based version control and CI/CD workflow
  • Strong analytical mindset with attention to data accuracy, structure, and scalability

Good to Have

  • Experience with workflow orchestration tools like Airflow, Dagster, or Prefect
  • Exposure to streaming and real-time data systems such as Kafka, Kinesis, or Pub/Sub
  • Familiarity with data lake architectures and lakehouse patterns
  • Understanding of analytics, BI, or machine learning data requirement
  • Experience working in a startup, high-growth, or acquisition-driven environment
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