Data Engineer II
Bengaluru
MiQ
Do more with your data to reach new customers, in new ways, wherever they are.Role: Data Engineer II
Location: Bengaluru
What you’ll do
We’re MiQ, a global programmatic media partner for marketers and agencies. Our people are at the heart of everything we do, so you will be too. No matter the role or the location, we’re all united in the vision to lead the programmatic industry and make it better.
As a Data Engineer II, you’ll have the chance to drive the design, development and maintenance of integrated data workflows across our enterprise applications. The proposed data engineer role would aim to achieve data integration by building automated, scalable and robust data pipelines across our enterprise systems such as Workday, Salesforce, Internal MiQ platforms & centralised BI data warehouse. The role also involves monthly BAU processing of billing data across all MiQ commercial regions through automated data engineering workflows. The data engineer would act as a Tech SME around data engineering, data integration and data management by applying leading design standards and implementation methodologies to build and manage end-to-end data pipelines. The proposed role also provides a unique opportunity to collaborate with SMEs across data value chain domains such as Data Management, Data Architecture, Cloud Infra experts, Data Quality, Analytics etc. for individual learning and growth.
Who are your stakeholders?
Key stakeholders include the Central & Regional Finance team, ERP team, Account Management, Trading, Billing operations, external contractors, IT along with tech SMEs across Platform, IT, Data management, Data Science & Analytics teams
What you’ll bring
- 2-3 years of experience in data engineering and data integration domain with in-depth exposure to building & managing data pipelines on cloud platforms (AWS,Azure or GCP)
- Extensive hands-on experience around Notebook Pyspark coding (Preferably on Databricks) & advanced SQL to build & optimise extensive data pipelines
- Strong software development skills using Hadoop technologies such as Hive, Spark etc.
- Working knowledge & good exposure to finance ERP suites & SaaS enterprise applications, such as Workday, SAP, Salesforce
- In-depth understanding of data modelling & data transformation techniques while maintaining a high level of data quality & integrity
- Well-versed with release management, incident management and SDLC methodologies through Bitbucket/GitHub and JIRA
- Good understanding of infrastructure components such as clusters, nodes, compute, and storage needed for managing data pipelines and optimising their performance
- Excellent problem-solving & analytical skills with the ability to anticipate roadblocks, diagnose problems and generate effective solutions
- Outstanding stakeholder management & communication skills
- Worked with a wide variety of business & technical stakeholders on strategic data projects
We’ve highlighted some key skills, experience and requirements for this role. But please don’t worry if you don’t meet every single one. Our talent team strives to find the best people. They might see something in your background that fits this role, or another opportunity at MiQ. If you have a passion for the role, please still apply.
What impact will you create?
You will be a key driver in achieving end-to-end data integration by building automated, scalable and robust data pipelines across critical business systems to targeted Finance data repositories. You will manage the Finance integrations and data pipelines, learn new tools and SaaS systems, and manage end-to-end data flows. This role will play a critical part in enabling automated data ingestion & processing for the finance function in MiQ, and your work will be showcased at the highest levels within MiQ. Your work will also enable business leaders across various enterprise functions to derive relevant finance and data insights for accurate reporting, and effective & timely decision-making.
What’s in it for you?
Our Center of Excellence is the very heart of MiQ, and it’s where the magic happens. It means everything you do and everything you create will have a huge impact on our entire global business.
MiQ is incredibly proud to foster a welcoming culture. We do everything possible to make sure everyone feels valued for what they bring. With global teams committed to diversity, equity, and inclusion, we’re always moving towards becoming an even better place to work.
In this role, you will work with global & regional Finance teams, ERP team, Commercial, Billing, Trading, and Account Management teams, along with other CoE teams, such as the Platform team. You will work on leading enterprise platforms (Workday, Salesforce, Adaptive, Kyriba, Punditz) and have the opportunity to learn more about Finance, financial reporting, data engineering for Finance, and end-to-end data flows in business-critical systems.
Values
Our values are so much more than statements. They unite MiQers in every corner of the world. They shape the way we work and the decisions we make. And they inspire us to stay true to ourselves and to aim for better. Our values are there to be embraced by everyone so that we naturally live and breathe them. Just like inclusivity, our values flow through everything we do - no matter how big or small.
- We do what we love - Passion
- We figure it out - Determination
- We anticipate the unexpected - Agility
- We always unite - Unite
- We dare to be unconventional - Courage
Benefits
Every region and office has specific perks and benefits, but every person joining MiQ can expect:
- A hybrid work environment
- New hire orientation with job-specific onboarding and training
- Internal and global mobility opportunities
- Competitive healthcare benefits
- Bonus and performance incentives
- Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion initiatives.
- Employee resource groups designed to connect people across all MiQ regions, drive action, and support our communities
Apply today!
Equal Opportunity Employer
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Bitbucket Databricks Data management Data pipelines Data quality Data warehouse Engineering Finance GCP GitHub Hadoop Jira Pipelines PySpark Salesforce SDLC Spark SQL
Perks/benefits: Career development Parental leave Salary bonus Team events
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