Lead Data Engineer(Snowflake/DBT)

3 months ago

Delhi Division, India Tide Full time

Job Title: - Lead Data Engineer
Location: - Delhi NCR

About Tide

At Tide, we are building a finance & admin platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting.

Launched in 2017, Tide is now the leading business financial platform in the UK with 575,000 SME members (10% market share) and more than 250,000 SMEs in India. Headquartered in London, Tide has over 1,800 Tideans across the UK, Bulgaria, India, Serbia, Romania, Ukraine and Germany. 

Tide is rapidly growing, expanding into new markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money.

What we’re looking for:

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.

About the role

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 :

Having 4+ years of extensive development experience using snowflake or similar data warehouse technologyHaving working experience with dbt and other technologies of the modern data stack, such as Snowflake, Apache Airflow, Fivetran, AWS, git ,LookerExperience in agile processes, such as SCRUMExtensive experience in writing advanced SQL statements and performance tuning themExperience in Data Ingestion techniques using custom or SAAS tool like fivetranExperience in data modelling and can optimise existing/new data modelsExperience in data mining, data warehouse solutions, and ETL, and using databases in a business environment with large-scale, complex datasetsHaving experience architecting analytical databases (in Data Mesh architecture) is added advantageYou have experience working in agile cross-functional delivery teamYou have high development standards, especially for code quality, code reviews, unit testing, continuous integration and deploymentYou have strong technical documentation skills and the ability to be clear and precise with business usersYou have business-level of English and good communication skillsYou have basic understanding of various systems across the AWS platform ( Good to have )Preferably, you have worked in a digitally native company, ideally fintechExperience 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: 

DBTSnowflakeAirflowFivetranSQLLooker

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 salarySelf & Family Health InsuranceTerm & Life InsuranceOPD BenefitsMental wellbeing through PlummLearning & Development BudgetWFH Setup allowance15 days of Privilege leaves12 days of Casual leaves12 days of Sick leaves3 paid days off for volunteering or L&D activitiesStock 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. 

Tide is a place for everyone
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. 

We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.

#LI-NN1

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