Data Engineer

Talink; Chandigarh; On-site; INR 1,000,000 - 1,600,000; Full time

Job summary

Talink is seeking a Data Engineer with 3–5 years of experience to join the team and help build an end-to-end data pipeline and storage solution. You will work hands-on with data to transform unstructured data into analytics-ready datasets and create the foundations supporting business analytics and data science.

You will design, build, and maintain batch and streaming ETL/ELT pipelines, structure data for analytics, model data warehouses, and build Looker dashboards, while monitoring data

Qualifications

• 3–5 years of relevant Data Engineering experience.
• Strong Data Modelling, ETL, Data Streaming & Data Warehousing skills.
• Strong hands-on experience with Python and SQL/Postgres.
• Experience with Google Cloud Platform (GCP), particularly Dataflow, BigQuery, Pub/Sub, Looker.
• Experience with Apache Hadoop or Spark would be an added advantage.

Responsibilities

• Design, build and maintain batch and streaming ETL/ELT pipelines.
• Process and structure unstructured data for analytics and data science.
• Design and maintain data models and data warehouse structures.
• Build and maintain Looker dashboards.
• Monitor pipeline health, data quality, and BigQuery cost & performance.
• Work closely with stakeholders to translate reporting requirements into meaningful datasets and dashboards.

Skills

Data Modelling

ETL

Data Streaming

Data Warehousing

Python

SQL/Postgres

Google Cloud Platform

Looker

BigQuery

Hadoop / Spark

Tools

Dataflow

Pub/Sub

Looker

BigQuery

Job description

We’re looking for a Data Engineer with 3–5 years of experience to join our team and help build an end-to-end data pipeline and storage solution.

This is a great opportunity for someone who enjoys working hands-on with data — building scalable pipelines, transforming unstructured data into analytics-ready datasets, and creating the data foundations that support both business analytics and data science.

What you’ll be working on:

• Design, build and maintain batch and streaming ETL/ELT pipelines
• Process and structure unstructured data for analytics and data science
• Design and maintain data models and data warehouse structures
• Build and maintain Looker dashboards
• Monitor pipeline health, data quality, and BigQuery cost & performance
• Work closely with stakeholders to translate reporting requirements into meaningful datasets and dashboards

What we’re looking for:

• 3–5 years of relevant Data Engineering experience
• Strong Data Modelling, ETL, Data Streaming & Data Warehousing skills
• Strong hands‑on experience with Python and SQL/Postgres
• Experience working with Google Cloud Platform (GCP), particularly:
  • Dataflow
  • BigQuery
  • Pub/Sub
  • Looker
• Experience with Apache Hadoop or Spark would be an added advantage

If you enjoy solving complex data problems and want to work on building a strong, scalable data foundation from the ground up, we’d love to hear from you.