Sr. Data Engineer

About Madison Logic:

Our team is reshaping B2B marketing and having fun in the process! When joining Madison Logic, you are committing to giving 100% and always striving for more. As a truly global company, we take pride in a diverse culture free from gender, racial, and other forms of bias.

Our Vision: We empower B2B organizations globally to convert their best accounts faster

Our Values:

URGENCY Lead with Action. Prioritize Follow-up.

ACCOUNTABILITY Don't Point Fingers. Take Responsibility.

INNOVATION Think Big. Innovate.

RESPECT Respect Customers. Respect Each Other.

INTEGRITY Act Ethically. Lead by Example.

At ML you will work with & learn from an incredible group of people who care about your success as much as they care about their own. Our team is at the heart of what we do and our success starts with you!

About the Role:

We are currently seeking a Senior Data Engineer to play a crucial role in shaping the future of our data and analytics capabilities. As a Senior Data Engineer at Madison Logic, your responsibilities will include designing, constructing, and deploying scalable data pipelines. Additionally, you will be responsible for developing APIs that will empower our machine learning products and features. Your expertise will be invaluable in refining data models across various components of our data infrastructure to accommodate the growing demands of data processing and analytics at Madison Logic.

In this highly collaborative position, you will closely collaborate with product, engineering, and data teams to achieve our business objectives.

Responsibilities:

• Develop and maintain the core data pipelines, involving the creation of production-level SQL and Python code to fuel our platforms.
• Adapt and enhance data models and data schemas to align with both business and engineering requirements.
• Conduct data analysis to contribute to the enhancement of overall business performance.
• Identify and select optimal data sources for specific analytical tasks.
• Establish procedures for data mining, data modeling, and data production.
• Collaborate with internal and external partners to address challenges and ensure successful outcomes.

Basic Qualifications:

• On-site working at the ML physical office, 5-days per week is required through the end of probation (6 months), transitioning to 2-day WFH post-probation.
• Ability to work UK Shift Timing (11:00am – 8:00pm Local Time) Required
• Fluent in English language (verbal and written) and possessing a clear and concise communication style.
• Educational Background: Possess a Bachelor's degree in computer science, statistics, or mathematics.
• Programming Expertise: 5+ years of experience with Python, with the ability to write production-level code.
• SQL Proficiency: 5+ years of experience in SQL, with excellent skills in navigating multiple data tables and comprehending data models.
• Cloud Computing: 3+ years of hands-on experience with cloud computing services, particularly AWS (Amazon Web Services).
• Data Architecture: Proven experience in designing data architectures, including Kafka, Data Warehouses and Operational Data Stores (ODS).
• Cloud-Based Analytics: Possess a strong understanding of cloud-based analytics platforms, such as Snowflake and AWS SageMaker.
• Data Workflow Management: Ideally, possess at least 1 year of experience with data workflow management tools, with Airflow experience being a plus.
• Data Cleaning: Be skilled in data cleaning and standardization processes.
• SQL Engine: Exhibit an excellent understanding of SQL engines and the capability to perform advanced performance tuning.

Desired Characteristics:

• Self-Sufficient and proactive nature, able & comfortable "figuring things out", resorting to escalation only when after exhausting all other options
• Strong sense of urgency required
• Exceptional communication skills, both verbal and written, with a knack for explaining complex concepts in a clear & concise manner across all levels and functions
• Team members are encouraged to work collaboratively with an emphasis on results, not on hierarchy or titles.

India-Specific Benefits

• 5 LPA Medical Coverage
• Life Insurance
• Provident Fund Contributions
• Learning & Development Stipend (Over-And-Above CTC)
• Wellness Stipend (Over-And-Above CTC)
• Transportation available for female team-members with shifts starting or ending between the hours of 9:30pm and 7:00am
• Welcoming in-office environment (located within AWFIS co-working space, Amanora Mall)
• Team members are encouraged to work collaboratively with an emphasis on results, not on hierarchy or titles.

Expected Compensation: (Dependent upon Experience)

Fixed CTC: 20 LPA - 24 LPA

Work Environment:

We offer a mix of in-office and hybrid working. Hybrid remote work arrangements are not available for all positions. Please refer to the job posting detail to determine what in-office requirements apply.

Pay Transparency/Equity:

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We will provide more information about our perks & benefits upon request.

Our Commitment to Diversity & Inclusion:

Madison Logic is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of sex, race, color, religion, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status.

Privacy Disclosure:

All of the information collected in this form and/or by your application by submission of your online profile is necessary and relevant to the performance of the job applied for. We will process the information provided by you in this form, your CV (including physical and online resume profiles), by the referees you have noted, and by the educational institutions with whom we may undertake to verify your qualifications with, in accordance with our privacy policy and for recruitment purposes only.

For more information on how we process the information you have provided including relevant lawful bases (where relevant) please see our privacy policy which is available on our website ( https://www.madisonlogic.com/privacy/ ).