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Engineering Manager - Data Engineer

Job Description

  • Location: Bangalore, Karnataka, India

Our Story:

Zepto is a fast-growing startup that delivers groceries in 10 minutes flat through an optimized network of dark stores that we're building across the country! We’re scaling up rapidly across India with operations live across Mumbai, Bangalore, Delhi, Noida, Ghaziabad, Gurgaon, Chennai, Pune, Kolkata, and Hyderabad. We are incredibly well funded – we recently announced fundraising from Indian and Global investors that include Y Combinator, Nexus Venture Partners, Glade Brook, and more! We’ve also built out one of the best startup teams in India, with Senior Executives from Uber, Flipkart, Dream11, and institutions like Stanford, INSEAD, IIM, and IIT.

Data Engineering @ Zepto Building for scale, rapid iterative development, and customer-centric product thinking at each step define every day for a Zepto engineer. If building technology that impacts millions, brainstorming with some of the best minds in the country, executing at lightning speed, product-driven thinking, and owning your work from start to finish excites you, then Zepto is the right place for you. The data engineering team at Zepto closely works with our Tech and Analytics team to design, propose and develop solutions (Data Pipelines, Relational Databases, etc.) keeping the growing scale & business requirements in mind.

Primary Responsibilities
● Collaborate with Tech and Analytics team to build and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a variety of data sources
● Oversee and govern the expansion of the current data architecture as business grows and ensure best practices are followed
● Design and build best in class architecture for data tables to ensure optimal querying performance in relational databases
● Create and maintain connectors that expose the data securely for consumption by downstream systems and services in near real-time.
● Create and maintain a data architecture docs to communicate data requirements that are important to business stakeholders and work on acquiring external data sets through APIs and/or Websockets and prepare physical data models on top of that
● Build data governance and security protocols and ensure adherence from analytics, tech and business teams
● Build and lead the data engineering team, recognize their strengths, and lead them to take ownership of end to end data architecture. Stay on top of latest developments in tech stack and propose potential upgrades to existing systems

What Are We Looking For?
● 6 to 10 years of experience in Data Engineering - Designing databases, building data pipelines, and maintaining data governance protocols in cloud platforms
● A visionary in technical architecture, with experience building and maintaining Data Engineering Products, along with demonstrated ability to take accountability for achieving results
● Hands-on working experience with Python, ETL pipelines, advanced SQL
● Strong understanding of AWS Services - Redshift, Lambda, Glue, Athena, security protocols
● Good understanding of ETL/ELT technology and processes with experience in building and scaling Cloud DW Redshift/Snowflake/BigQuery
● Working with data layer solutions like Apache Hudi, DeltaLake, iceberg, has experience in setting up a real time data processing system with Apache Spark/ Apache Flink , pySpark.
● Experience in gathering and processing raw data at scale including writing scripts and spark jobs.

Why Join Us?
● Zepto is on a blitz scaling path unlike any other startup today.
● The opportunity to join India’s next Unicorn is rare. Given our very high hiring bar, we offer a very competitive salary and substantial equity to create everlasting wealth for our early believers as the company grows

Education/Qualification: Btech

Skills

  • Data Engineering
  • Python
  • ETL
  • sql
  • BigQuery
  • Apache Spark
  • AWS

Education

  • Master's Degree
  • Bachelor's Degree

Job Information

Job Posted Date

Sep 06, 2023

Experience

6 to 10 Years

Compensation (Annual in Lacs)

Best in the Industry

Work Type

Permanent

Type Of Work

8 hour shift

Category

Information Technology

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