Data Engineer
Data Engineer
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Job Description
The role involves analyzing large and complex datasets to uncover trends patterns and actionable insights that support datadriven decisionmaking across the organization. Responsibilities include designing and building dashboards to visualize key retail KPIs and operational metrics for business stakeholders. The position also requires developing adhoc reports and performing deepdive analyses to support crossfunctional teams. Close collaboration with product managers and stakeholders is essential to gather reporting requirements and deliver customized data solutions.
Requirements
BSc/BCA/MSc/MCA/BTech/MTech
3 Years of Experience in Data Engineering
Strong SQL skills and experience working with relational databases PostgreSQL)
Proficiency in Python for data pipelines and scripting
Proven ability to build reporting dashboards and visualizations for retail KPIs using tools such as Apache Superset Metabase Looker Tableau or Power BI
Strong data analysis skills with the ability to extract insights from complex datasets
Handson experience with ETL/ELT tools (e.g. Airflow dbt Talend or custom pipelines)
Familiarity with cloud platforms (AWS GCP or Azure) and data services like S3 Redshift BigQuery or Snowflake
Familiarity with batch and streaming data pipelines (Kafka Spark etc.
Strong understanding of data modeling warehousing and performance optimization
Version control with Git and experience working in a CI/CD environment
Ability to write clean modular and welldocumented code
Soft Skills:
Strong communication and collaboration skill
Ability to work independently and drive tasks to completion
Attention to detail and a problemsolving mindset
Benefits
- Competitive Pay
- Performance Bonus
- Longevity Bonus
- Monthly Fun & Entertainments Programs
- Office Pantry filled with Tea & Snacks
- Paid Time Off
- Parental Leave Policy
- Medical Coverage Insurance for Employee and Family
- PF / ESI
- Education Allowances
BSc/BCA/MSc/MCA/BTech/MTech 3+ Years of Experience in Data Engineering Strong SQL skills and experience working with relational databases , PostgreSQL) Proficiency in Python for data pipelines and scripting Proven ability to build reporting dashboards and visualizations for retail KPIs using tools such as Apache Superset, Metabase, Looker, Tableau, or Power BI Strong data analysis skills with the ability to extract insights from complex datasets Hands-on experience with ETL/ELT tools (e.g., Airflow, dbt, Talend, or custom pipelines) Familiarity with cloud platforms (AWS, GCP, or Azure) and data services like S3, Redshift, BigQuery, or Snowflake Familiarity with batch and streaming data pipelines (Kafka, Spark, etc. Strong understanding of data modeling, warehousing, and performance optimization Version control with Git and experience working in a CI/CD environment Ability to write clean, modular, and well-documented code Soft Skills: Strong communication and collaboration skill Ability to work independently and drive tasks to completion Attention to detail and a problem-solving mindset
Employment Type
Full Time
