Data Engineer

Actualize; Hyderabad; Hybrid; INR 1,200,000 - 2,500,000; Full time

Benefits offered by this job

Mentorship from experienced engineers

Comprehensive benefits

Job summary

AssetMark's Hyderabad Technology Center in India is seeking a Data Engineer to design and maintain scalable ETL/ELT pipelines across Azure and Snowflake, partnering with experienced engineers for mentorship and growth.

You will work on data ingestion, governance, security, and observability, collaborating with global teams and using Python, SQL, and modern data tooling in a hybrid work environment.

Qualifications

• 3+ years of experience in data engineering, data integration, or related technical role.
• Experience working with sensitive/regulated data and secure handling practices.
• Proven ability to design and operate ETL/ELT pipelines and data integrations.

Responsibilities

• Design, build, test, and maintain scalable ETL/ELT pipelines across Azure and Snowflake.
• Ingest data from internal and external sources, supporting batch and near-real-time patterns.
• Develop and operate data feeds and integrations; support MDS tools and dependencies.
• Monitor pipeline health, handle incidents, and improve performance, resilience, and cost efficiency.
• Implement data quality, governance, security measures, and data cataloging.
• Collaborate with product managers, engineers, and business users to translate requirements into scalable solutions.
• Participate in agile ceremonies and contribute to documentation, testing, and CI/CD practices.

Skills

Python

SQL

Azure

Snowflake

ETL/ELT pipelines

Git workflows

CI/CD

Data governance

Observability

Education

Bachelor's degree in Computer Science or related field

Tools

dbt

Fivetran

Monte Carlo

Immuta

Atlan

Azure DevOps

GitHub Actions

Job description

As a Data Engineer, you'll work alongside experienced engineers who will mentor you while you contribute to mission-critical solutions across our Azure and Snowflake data stack. You'll help onboard and move data from diverse internal and external sources, support MDS tools and related services, and improve data reliability, governance, security, and observability. You will gain experience with AssetMark's modern data ecosystem, including Snowflake, dbt, Fivetran, Monte Carlo, Immuta, and Atlan, while developing the technical expertise and business knowledge to take on increasingly complex responsibilities.

As part of AssetMark's Hyderabad Technology Center, our India global capability center (GCC), this role is based in Hyderabad and follows a hybrid work model. You will collaborate with colleagues across India and the United States, with reasonable working-hour overlap when needed for team ceremonies, planning, production support, and delivery.

Key Responsibilities

• Data Platform Engineering: Design, build, test, and maintain scalable, reliable, and fault-tolerant ETL/ELT pipelines and reusable platform components across Azure and Snowflake.
• Data Ingestion & Source Onboarding: Integrate complex financial data from internal systems, third-party providers, databases, APIs, and files; support batch and near-real-time ingestion patterns where appropriate.
• Integrations, Data Feeds & MDS Support: Develop and operate inbound and outbound integrations and data feeds, support MDS tools and dependencies, troubleshoot production issues, and help ensure reliable delivery to downstream consumers.
• Data Reliability & Operations: Monitor pipeline health, freshness, volume, schema changes, and failures; respond to incidents, perform root-cause analysis, and improve performance, resilience, recoverability, and cost efficiency.
• Data Quality, Governance & Security: Implement automated validations, documentation, lineage, cataloging, access controls, encryption, and sensitive-data protections in accordance with financial-industry governance and security standards.
• Engineering Practices: Use Python, SQL, and fit-for-purpose data tools to deliver maintainable solutions; follow Git-based workflows, code reviews, testing, automated deployment, and CI/CD standards using platforms such as Azure DevOps or GitHub Actions.
• Business & Technical Collaboration: Partner with product managers, business users, operations teams, data stewards, analysts, and engineers to understand processes, clarify requirements, and translate business needs into scalable technical solutions.
• Global Delivery & Continuous Improvement: Participate actively in agile ceremonies, retrospectives, documentation, and knowledge sharing across the GCC and U.S. teams, and responsibly use AI-assisted engineering methods to improve development, testing, documentation, and troubleshooting.

Knowledge, Skills, Abilities

• Practical experience designing, building, and supporting ETL/ELT pipelines, data ingestion processes, system integrations, and data feeds
• Working knowledge of Python and SQL for data movement, automation, validation, troubleshooting, and operational support
• Experience with cloud data platforms, especially Microsoft Azure and Snowflake
• Familiarity with modern data engineering, governance, and observability tools, including Snowflake, dbt, Fivetran, Monte Carlo, Immuta, and Atlan
• Understanding of orchestration, APIs, database connectivity, file-transfer patterns, scheduling, and dependency management
• Familiarity with medallion architecture and core data modeling concepts used to organize and manage data across platform layers
• Understanding of data quality, lineage, cataloging, access control, privacy, and secure handling of sensitive or regulated data
• Experience with version control, collaborative Git workflows, automated testing, and CI/CD practices
• Strong problem-solving skills and the ability to investigate ambiguous data, integration, platform, or tool issues methodically
• Excellent communication skills and the ability to collaborate across technical and business teams in a hybrid, globally distributed organization
• Experience in wealth management, asset management, financial technology, or a related financial-services domain is a plus

Qualifications & Experience

• 3+ years of experience in data engineering, data integration, software engineering, platform engineering, or a related technical role
• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related technical field, or equivalent practical experience
• Experience working with sensitive or regulated financial data and following secure data-handling practices is required

Why Join AssetMark?

• Build global data capabilities from AssetMark's Hyderabad Technology Center, an important part of our India GCC
• Work across a broad data engineering ecosystem that includes the data platform, ingestion, integrations, data feeds, MDS support, quality, governance, and observability
• Work with modern data technologies while learning industry best practices through structured mentorship from experienced engineers
• Develop both technical and business domain expertise in the wealth management industry, with clear advancement pathways as you grow
• Collaborate with colleagues in India and the United States on meaningful technology that supports financial advisors and their clients
• Access comprehensive training resources, workshops, and learning materials designed to accelerate your professional development
• Enjoy comprehensive benefits, competitive compensation, and a supportive work environment that values your growth
• Opportunity to build your career in a high-growth company backed by private equity

Our Commitment

AssetMark values diversity of thought and background and is committed to building an inclusive workplace. We encourage applications from candidates of all backgrounds, including those who are traditionally underrepresented in technology.

Employment is subject to applicable local requirements and successful completion of AssetMark's hiring process.

Build technology that helps financial advisors serve their clients and grow their businesses.