Job description

About The Role

As part of the team, you will be responsible for building and running the data pipelines and services that are required to support business functions/reports/dashboard..
We are heavily dependent on BigQuery/Snowflake, Airflow, Stitch/Fivetran, dbt , Tableau/Looker for our business intelligence and embrace AWS with some GCP.

As a Data Engineer You'll Be

Developing end to end ETL/ELT Pipeline working with Data Analysts of business Function.
Designing, developing, and implementing scalable, automated processes for data extraction, processing, and analysis in a Data Mesh architecture
Mentoring Fother Junior Engineers in the Team
Be a go-to expert for data technologies and solutions
Ability to provide on the ground troubleshooting and diagnosis to architecture and design challenges
Troubleshooting and resolving technical issues as they arise
Looking for ways of improving both what and how data pipelines are delivered by the department
Translating business requirements into technical requirements, such as entities that need to be modelled, DBT models that need to be build, timings, tests and reports
Owning the delivery of data models and reports end to end
Perform exploratory data analysis in order to identify data quality issues early in the process and implement tests to ensure prevent them in the future
Working with Data Analysts to ensure that all data feeds are optimised and available at the required times. This can include Change Capture, Change Data Control and other delta loading approaches
Discovering, transforming, testing, deploying and documenting data sources
Applying, help defining, and championing data warehouse governance: data quality, testing, coding best practices, and peer review
Building Looker Dashboard for use cases if required

What We Are Looking For

You have 4+ years of extensive development experience using snowflake or similar data warehouse technology
You have working experience with dbt and other technologies of the modern data stack, such as Snowflake, Apache Airflow, Fivetran, AWS, git ,Looker
You have experience in agile processes, such as SCRUM
You have extensive experience in writing advanced SQL statements and performance tuning them
You have experience in Data Ingestion techniques using custom or SAAS tool like fivetran
You have experience in data modelling and can optimise existing/new data models
You have experience in data mining, data warehouse solutions, and ETL, and using databases in a business environment with large-scale, complex datasets
You have experience architecting analytical databases (in Data Mesh architecture) is added advantage
You have experience working in agile cross-functional delivery team
You have high development standards, especially for code quality, code reviews, unit testing, continuous integration and deployment
You have strong technical documentation skills and the ability to be clear and precise with business users
You have business-level of English and good communication skills
You have basic understanding of various systems across the AWS platform ( Good to have )
Preferably, you have worked in a digitally native company, ideally fintech
Experience with python, governance tool (e.g. Atlan, Alation, Collibra) or data quality tool (e.g. Great Expectations, Monte Carlo, Soda) will be added advantage

Our Tech Stack

DBT
Snowflake
Airflow
Fivetran
SQL
Looker

What You'll Get In Return

Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you'll get:
Competitive salary
Self & Family Health Insurance
Term & Life Insurance
OPD Benefits
Mental wellbeing through Plumm
Learning & Development Budget
WFH Setup allowance
15 days of Privilege leaves
12 days of Casual leaves
12 days of Sick leaves
3 paid days off for volunteering or L&D activities
Stock Options

Tidean Ways Of Working

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams.
While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

Lead Data Engineer

Lead Data Engineer(Snowflake/DBT)