Senior Data Engineer (Remote, India)
Senior Data Engineer (Remote, India)
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Job Description
How do I know if this job is a good fit for me
- You enjoy solving complex problems using data and analytics.
- You thrive in an environment where innovation collaboration and autonomy are valued.
- You want to work with a team of experts who are great at what they dowithout the office politics.
- You are passionate about using data to drive real business impact.
- You stay ahead of industry trends and continuously develop your skills in data science analytics and machine learning.
If that sounds like you congratulationsyouve found the right place!
What is In Marketing We Trust all about
Were a technical performance marketing agency and we exist to solve tough problems in marketing. We bring an engineering mindset to complex marketing situations to deliver a scalable performance that generates an exponential return on investment.
Trust is in our name and is our guiding principle. To deliver on our purpose we will conduct our business by the following Code of Ethics:
Build trust through every interaction with every person
Always deliver in the best interest of our clients
Invest in the success of every team member
Build long-term relationships with our partners
Delivering these foundational codes will fund our continued growth while providing a fair return for shareholders.
What is the internal culture like
Lets hear from our employees on why they chose to join and stay:
- A good management team creates growth opportunities embodies company values and understands peoples pain points.
- A nice dedicated supportive (and funny) team with years of experience therefore really good at what theyre doing.
- Flexibility in working hours working location no micromanaging and you can take full ownership of your work.
- No politics no bullsh!t.
- Very good processes clear expectations.
About the role
As a Data Engineer you will help clients make data-driven decisions by collecting processing analysing and visualising data. Youll work on medium to large-scale projects across multiple industries helping clients unlock the full potential of their data.
Your role will involve working with disparate data sources building data warehousing solutions developing machine learning models and creating actionable insights through reports and dashboards.
Beyond client work youll also contribute to building and improving internal tools that enhance the agencys analytics capabilities.
What am I accountable for
- Collect process and clean data from various sources.
- Design and implement data models ETL pipelines and automation workflows.
- Conduct in-depth data analysis and build predictive models to solve business challenges.
- Develop reports and visualisations using BI tools such as Tableau Google Data Studio or Looker.
- Work closely with clients to understand business problems and provide actionable insights.
- Continuously improve internal workflows by automating repetitive tasks.
- Support account expansion efforts by identifying opportunities to provide additional value to clients.
How will I be measured:
Your success will be measured by:
- Accuracy and efficiency of data models ETL processes and automation workflows.
- Impact of insights on client decision-making and business outcomes.
- Client satisfaction scores based on feedback and results.
- Timeliness and quality of reports and dashboards.
- Internal process improvements that enhance the agencys efficiency.
Who will I be working with
- The Senior DevOps & Engineer who will support and guide your work.
- Cross-functional teams including SEO Paid Media and CIO.
- Clients across various industries helping them unlock the power of their data.
What knowledge and skills do I require to be successful
Core Competencies
- At least 5 years of experience as a Data Engineer
- Data Science & Analytics Strong knowledge of machine learning statistical analysis and data modelling.
- Programming Proficiency in Python R and SQL for data analysis and automation.
- ETL & Data Processing Experience with data wrangling cleaning and transformation from multiple sources.
- Business Intelligence Familiarity with Tableau Google Data Studio or similar visualisation tools.
- Problem-Solving Ability to diagnose data issues and develop innovative solutions.
- Project Management Skilled in scoping estimating and delivering projects on time.
- Communication Ability to present complex data insights in a clear concise and actionable manner.
Preferred Competencies (Nice to Have)
- Experience with Google Analytics and Google Tag Manager.
- Have GCP certificate
- Knowledge of big data processing (e.g. Spark Hadoop).
- Familiarity with cloud platforms (AWS GCP Azure).
Position title: Data Engineer
Department: Digital Delivery
Report to: Head of Data Engineer
Direct report: N/A
Days/Hours: M-F/40 hours/week Full-time Permanent
Employment type: Contractor. Please see the difference in our FAQ.
Targeted timezones/locations: India - GMT5.5
Note: only applications within the targeted time zones/locations are being processed.
Employment Type
Full Time
