Posted 2w ago

Senior Data Engineer

@ MiQ
Bengaluru, Karnataka, India
OnsiteFull Time
Responsibilities:develop warehouse, monitor performance, mentor juniors
Requirements Summary:3+ years in data warehouse development; strong SQL; Hadoop ecosystem; Java/Python; AWS S3/EMR; BI tools.
Technical Tools Mentioned:Hadoop, Hive, Spark, Kafka, Yarn, Mesos, MapReduce, SQL, Java, Python, AWS S3, Redshift, Tableau, QlikView
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Job Description

Job Description

MiQ is the leading marketing intelligence company with technology and people that help
businesses win. They are experts at ingesting large amounts of data, modelling data to convert into
insights and then actioning these insights through a variety of products and services. Our People
have an endearing and unique quality that sets them apart from the rest and that is why our
product inspires. Our People make the difference, and our values make the people.
In short, MiQ makes data valuable, insightful, and intelligent, which helps clients engage customers,
grow sales and generate revenue. MiQ offers its clients products and services across Media (which
is their programmatic managed media offering), Analytics (custom engineering and data science
solutions for business challenges in digital marketing space) and Technology (their technology and
analytics capabilities geared for their customers use). They enjoy a 97% client retention rate
globally across brands such as Walmart, Barclaycard and Ford.
MiQ was built 10 years ago by Gurman Hundal and Lee Puri, with its original base in London, UK.
Remaining a self-funded business, the company has now grown to over 700 employees, with 15
global offices covering 4 continents. Our business vision is to empower the marketing divisions with
the relevant insights so that they can shape the overall business strategy. It is for this reason MiQ
has very exciting and realistic growth expectations over the coming years. It is a great opportunity
to work across a global business while becoming a key contributor within a growing, winning
organization.
QUICK FACTS
● Represent over 450 Client’s Globally
● 97% Retention Rate of Client’s since Launch
● 700 Global Employee’s, with a 100% Staff Retention Rate in the first 3 years of the
business, currently 93%
● Offices in London, Manchester, Hamburg, 10 cities in the US, Toronto, Australia and
Bangalore
● Award Winning Infrastructure – Recently voted for the ‘Best Use of Data’ as well as
‘Best Trading Team’ in UK and ‘Most Innovative Brand in Mobile’ in North America
SECTION 1 - WHAT WE VALUE AT MiQ
• PASSION - We love and live what we do
• DETERMINATION - We always find a way to “figure it out”
• UNITY - We back each other and challenge one another
• AGILITY - We anticipate the unexpected, embrace and adapt to change
• COURAGE - We dare to think unconventionally You can find out more about
SECTION 2
● Job title – Senior Data Engineer
● Team – Data Engineering

● Reports to – Team Lead
● Role Type - Individual Contributor
● Key relationships –
➢ Internal: the leads of various teams (Internal Tech teams, campaign, trading, sales/marketing).
You will be supported by your peers and experts across many fields who will help you succeed.
SECTION 3- ROLE PURPOSE
Data Engineer will be responsible for development and maintenance of back-end data warehouse
systems for our products and applications
SECTION 4
Key
Responsibilities

Success Indicators/Outcomes

Ownership Define and promote best practices and design principles for data

warehousing techniques, architecture

Domain Help in technological decision making for the business’s future data

management and analysis needs

Hands On Monitor and troubleshoot performance issues on data warehouse

systems

Cross Team Provide day-to-day support of the data warehouse management
Ownership Assist in improving data organization and accuracy
Cross Team Collaborate and work with data analysts, scientists and engineers and
ensure best practices in terms of data processing and storage
technologies used

Automation Automate the process of rolling out changes to underlying data

warehouses or reports/insights

Guidance Mentor and develop junior developers in the team
Passion Ensuring that all deliverables adhere to our world-class standards
SECTION 5
Qualifications & Experience
• More than 3 years overall experience in Data Warehouse development and database design
• Software solution development using Hadoop Technologies such as MapReduce, Hive,
Spark, Kafka, Yarn/Mesos etc.
• Expert in SQL, worked on advanced SQL for at least 2+ years or as a Data warehouse
administrator
• Good development skills in Java, Python or other languages
• Experience with EMR, S3

• Knowledge and exposure to BI applications, e.g. Tableau, Qlikview
Must Have Skills
● Excellent analytical and problem-solving skills
● Expert in at least one of the Big Data Technologies
● Expert in SQL, worked on advanced SQL for at least 2+ years or as a Data warehouse
administrator ● Software solution development using Technologies such as MapReduce, Hive,
Spark, Kafka, Yarn/Mesos etc.
● Good Development and coding skills in Python, Java and RDBMS(Sql Queries)
Good to Have Skills
● AWS cloud exposure with S3, Redshift
● Understanding of Cluster Resources & Management
● Experience with Python is preferred
● Experience with Spark is preferred
● Knowledge around scalable service architecture

Behavioral attributes
● Continuous learning is our way of life. Stay abreast with the latest technologies and
then apply them in relevant products
● Come with a purpose and go extra miles to achieve stretch goals.
● Have a never give up attitude.
● We respect and complement each other to build an inclusive and diverse culture.
● Be explorative and show resilience in difficult situations.
● Be bold. Believe in yourself and make a difference.
● Good communication and presentation skills
● Ability to collaborate across multiple functions
● Extreme attention to detail
● Ability to meet tight deadlines and prioritize workload
At MiQ, we don’t just accept the differences of our people, it is what builds us as a community. MiQ
is very proud to be an equal opportunity workplace.