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Data Engineer II

Data Engineer II

Mastercard

6 - 11 years

11 - 15 Lacs

pune

Posted:1 day ago| Platform:

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Skills Required

data engineer snowflake python sql development power bi data engineering sql data quality java spark tdd gcp kafka full stack jenkins gitlab agile performance optimization big data aws data lake architecture azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

Overview

Ethoca, a Mastercard Company is seeking a Senior Data Engineer to join our team in Pune, India to drive data enablement and explore big data solutions within our technology landscape. The role is visible and critical as part of a high performing team it will appeal to you if you have an effective combination of domain knowledge, relevant experience and the ability to execute on the details. You will bring cutting edge software and full stack development skills with advanced knowledge of cloud and data lake experience while working with massive data volumes. You will own this our teams are small, agile and focused on the needs of the high growth fintech marketplace. You will be working across functional teams within Ethoca and Mastercard to deliver on cloud strategy. We are committed in making our systems resilient and responsive yet easily maintainable on cloud.

Key Responsibilities

Design, develop, and optimize batch and real-time data pipelines using Snowflake, Snowpark, Python, and PySpark
Build data transformation workflows using dbt, with a strong focus on Test-Driven Development (TDD) and modular design
Implement and manage CI/CD pipelines using GitLab and Jenkins, enabling automated testing, deployment, and monitoring of data workflows
Deploy and manage Snowflake objects using Schema Change, ensuring controlled, auditable, and repeatable releases across environments
Administer and optimize the Snowflake platform, handling performance tuning, access management, cost control, and platform scalability
Drive DataOps practices by integrating testing, monitoring, versioning, and collaboration into every phase of the data pipeline lifecycle
Build scalable and reusable data models that support business analytics and dashboarding in Power BI
Develop and support real-time data streaming pipelines (eg, using Kafka, Spark Structured Streaming) for near-instant data availability
Establish and implement data observability practices, including monitoring data quality, freshness, lineage, and anomaly detection across the platform
Plan and own deployments, migrations, and upgrades across data platforms and pipelines to minimize service impacts, including developing and executing mitigation plans
Collaborate with stakeholders to understand data requirements and deliver reliable, high-impact data solutions
Document pipeline architecture, processes, and standards, promoting consistency and transparency across the team
Apply exceptional problem-solving and analytical skills to troubleshoot complex data and system issues
Demonstrate excellent written and verbal communication skills when collaborating across technical and non-technical teams

Required Qualifications

Tenured in the fields of Computer Science/Engineering or Software Engineering
4-6 years of professional experience in software development/data engineering
Bachelor's degree in computer science, or a related technical field including programming
Deep hands-on experience with Snowflake/Data Bricks (including administration), Snowpark, and Python
Strong background in PySpark and distributed data processing
Proven track record using dbt for building robust, testable data transformation workflows following TDD
Familiarity with Schema Change for Snowflake object deployment and version control
Good to have familiarity with Java JDK 8 or greater and exposure to Spring & Springboot framework
Proficient in CI/CD tooling, especially GitLab and Jenkins, with a focus on automation and DataOps
Experience with real-time data processing and streaming pipelines
Strong grasp of cloud-based database infrastructure (AWS, Azure, or GCP)
Skilled in developing insightful dashboards and scalable data models using Power BI
Expert in SQL development and performance optimization
Demonstrated success in building and maintaining data observability tools and frameworks
Proven ability to plan and execute deployments, upgrades, and migrations with minimal disruption to operations
Strong communication, collaboration, and analytical thinking across technical and non-technical stakeholders
Ideally you have experience in banking, e-commerce, credit cards or payment processing and exposure to both SaaS and premises-based architectures
In addition, you have a post-secondary degree in computer science, mathematics, or quantitative science

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Data Engineer II