Data Engineer

Job Description

Job Description The role involves analyzing large and complex datasets to uncover trends, patterns, and actionable insights that support data-driven decision-making 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 ad-hoc reports and performing deep-dive analyses to support cross-functional 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 (e.g.MySQL, 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 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 Requirements BSc/BCA/MSc/MCA/BTech/MTech 3+ Years of Experience in Data Engineering Strong SQL skills and experience working with relational databases (e.g.MySQL, 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 Show more Show less