Key Facts

Remote From:

Full time

English

Hard Skills

Google Cloud Platform (GCP) Data Architecture Data Modeling Data Integration Analytical Dashboard Python (Programming Language) Test Automation JavaScript (Programming Language) Data Integrity Software Engineering NoSQL BigQuery Scala (Programming Language) Amazon S3 Data Access Query Optimization Payment Processing Stakeholder Communications Continuous Training

Other Skills

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Communication
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Teamwork
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Mentorship
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Problem Solving

MDA Edge

About MDA Edge

Our objective is to establish an exceptional ecosystem by connecting individuals, technology, and prospects through the application of human intelligence.MDA Edge is a process-oriented company and our expertise lies in providing comprehensive Workforce Solutions, specifically focusing on Contingent Staffing, Bulk/Project Staffing, RPO/KPO/BPO, and Direct Hire services. We cater to a wide range of industries, including Infrastructure Consulting, Engineering Consulting, IT Consulting, Healthcare, Life Sciences, Pharmaceutical Consulting, Consumer Goods, Education, Transportation & Logistics, Media & Entertainment, Telecom, BFSI, Manufacturing, Utilities & Energies, and Corporate Recruitment. Moreover, we have developed a dedicated focus on Government Consulting.Our company prides itself on a meticulous approach, ensuring that we meet your specific needs. We have established a robust network of highly skilled professionals who are readily available to fulfill your requirements. With a strong commitment to excellence, we consistently deliver exceptional results for clients in India, Denmark, France, Germany, Ireland, Japan, Spain, Thailand, the USA, Canada and Mexico, with ongoing expansion efforts to serve more new regions in the near future.We consistently uphold the highest standards of quality by providing resources, time, and materials to design, implement, and support efficient operations for organizations. Our track record of measurable accomplishments demonstrates our commitment to cultivating a balanced work and societal ecosystem.Our continuous growth, successful customer engagements, and strong customer retention exemplify our achievements. Furthermore, our passion lies in streamlining complex business processes through the application of suitable technology, which has been integral to our success.We extend an invitation to join our dynamic workplace, offering rapid growth opportunities, excellent employee benefits, and a positive work-life balance.

Company type: Scaleup

Founded: 2018

Company size: 201 - 500

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Job description

About the role: We are seeking a talented and experienced Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will play a crucial role in building and maintaining data pipelines, developing and managing dashboards, and contributing to tool development. Your expertise will enable us to efficiently process and analyze large volumes of data, providing valuable insights to drive business decisions.

What you'll be working on:

Build scalable and efficient data pipelines to collect, process, and transform large volumes of data from diverse sources.
Develop and maintain data models, ensuring data integrity and optimizing query performance.
Collaborate with stakeholders to understand their data requirements and provide the necessary infrastructure and support.
Build and maintain interactive dashboards and visualizations to enable data-driven decision-making across the organization.
Contribute to the development of internal data tools and frameworks, automating repetitive tasks and improving data accessibility and usability.
Stay up to date with the latest advancements in data engineering technologies and best practices and proactively recommend improvements to our data infrastructure.
Mentor and provide guidance to junior data engineers, fostering a culture of learning and growth.

Interview process:

Potential Recruiter Screen
Hiring Manager Screen (Technical)
Virtual Onsite: Two Coding/Problem solving sessions (1 hour each)
Offer Stage

Must have:

Experience: 4+ years of experience as a Data Engineer
Experience: hands-on experience building or maintaining data pipelines with a modern orchestration tool like Airflow/Prefect/Dragster.
Technical Skills: strong programming skills in languages like Python, Scala or JavaScript, with a solid understanding of software engineering principles.
Technical Skills: strong expertise with SQL and non-SQL DBs, cloud-based data platforms (e.g., AWS, GCP) and their related services (S3, Big Query, etc.).
SQL: Expert level writing of SQL for data manipulation, transformation and for analytics.
Dash Boarding: Experience building and maintaining interactive and intuitive dashboards using tools like Looker.
Development: Comfortable with tool development, including building and enhancing internal data tools and frameworks.

Nice to have:

Prior Startup Experience: Experience scaling from Series A/B through later stages.
Business Model Experience: B2C and B2B experience and payments experience would be a bonus.

Benefits: Medical, Dental, Vision, Paid time off, Parental leave, Parental leave.