Data Engineer

Posted 42 Minutes Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Mid level
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
This is where careers move an industry.
The Role
Designs, builds, operationalizes, and maintains scalable GCP data pipelines and warehouses. Responsibilities include ETL optimization, data modeling, governance, lineage, quality checks, monitoring, alerting, documentation, and troubleshooting. The role uses Python, SQL, BigQuery, dbt, Airflow, Dataflow, and related tools to integrate data from multiple sources and support analytics and reporting. It also requires collaboration with stakeholders, reusable software components, and ownership of production data pipelines.
Summary Generated by Built In
Job Description
Amazing Career Moments Happen Here
Transforming the insurance industry is ambitious, we know. That's why at Applied Systems India Pvt Ltd., an Applied Systems company, we're building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers - all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the Insurtech game, we're not just redefining what's achievable, we're creating a place where amazing career moments are made possible.
Position Overview
Applied Systems, Inc., a worldwide leader in insurance technology, is currently searching for an experienced Data Engineer with proven experience in Google Cloud Platform (GCP) to join our team. We are on an exciting journey to scale our Data and Analytics capabilities to enable better data-driven decision making across the business. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, optimizing data processes, and ensuring the seamless integration of data from various sources. If you are passionate about data and excited to work on cutting-edge technologies, we want to hear from you!
What You will Do
  • Design, develop, operationalize robust and scalable data pipelines with automated data quality checks to support business needs and demonstrate ownership of live data pipelines.
  • Proficiency understanding and implementing data life cycles, data lineage, custom metadata, and data governance.
  • Proficiency implementing BigQuery SQL procedures, functions, and similar, with actionable logging
  • Optimize ETL processes and data workflows to ensure abiding by performance constraints, for efficiency and scalability.
  • Comfortably lead designing and building of development to production data pipelines from data ingestion to consumption using GCP services, Python, BigQuery , DBT, SQL, Apache Airflow, Celigo .
  • Expertise in JSON, XML, text parsing using Dataflow, Python, or batch jobs.
  • Advocates and practices software best practices in leveraging reusable components in implementation.
  • Design, develop and maintain robust, and scalable data models and schemas to support analytics and reporting requirements.
  • Optimize data processing performance, ensure high availability, scalability of data systems and solutions.
  • Implement monitoring and alerting mechanisms to proactively identify and resolve issues.
  • Ensure data quality and consistency through rigorous testing and validation processes in development and production tiers.
  • Troubleshoot and resolve data-related issues promptly.
  • Create, update, and maintain technical documentation of the data processes, pipelines, and models.
  • Stay updated with industry trends and technologies to continuously improve our data engineering practices.

What You will Need to Succeed
  • 4+ years of experience in Data / ETL Engineering, as well as Data / ETL Architecture and pipeline development with a minimum of 1 year of working experience as Google Cloud Platform (GCP) developer.
  • Proven experience in building and maintaining a scalable Data Warehouse in a cloud-based data platform, preferably in Google's BigQuery .
  • Experience with the primary managed data services within GCP, including DataProc , Dataflow, BigQuery etc.
  • Proficiency in SQL, DBT, Python (Apache Airflow, Composer) and hands-on experience with ETL tools like Talend, Fivetran or similar.
  • Proficiency in Git for version control
  • Experience with DBT for data transformation.
  • Proven experience in high-quality designing, building and maintaining ETL processes, automated data quality checks and reusable ETL components .
  • Familiarity with Data Lake and Data Warehousing concepts and Data Modelling techniques.
  • Familiarity with concepts like star schema, snowflake schema, standardization, normalization, fact and dimension tables.
  • Strong problem-solving skills and the ability to work independently as well as collaboratively.
  • Excellent communication skills and the ability to articulate technical concepts to non-technical stakeholders.
  • Bachelor-level degree in Computer Science, MIS, or CIS, or equivalent experience.

When You Join Team Applied, You Can Expect:
A culture that values who you are and recognizes that you aren't just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.
We flex our time together , collaborating remotely and in-person to empower our teams to work in the ways that work best for them.
Learn more about the people behind our products at -
  • LinkedIn Page Applied Systems India
  • https://www1.appliedsystems.com/en-us/about-us/jobs/

Your Security Matters:
Our candidates' personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers' portal.
EEO Statement
Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don't discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.

Skills Required

  • 4+ years of experience in data or ETL engineering, architecture, and pipeline development
  • At least 1 year of experience as a Google Cloud Platform developer
  • Experience building and maintaining scalable cloud-based data warehouses, preferably with BigQuery
  • Experience with GCP managed data services including Dataproc, Dataflow, and BigQuery
  • Proficiency in SQL, dbt, and Python, including Apache Airflow or Cloud Composer
  • Hands-on experience with ETL tools such as Talend, Fivetran, or similar
  • Proficiency with Git for version control
  • Experience with dbt for data transformation
  • Experience designing, building, and maintaining ETL processes, automated data quality checks, and reusable ETL components
  • Familiarity with data lake, data warehouse, and data modeling concepts
  • Familiarity with star schema, snowflake schema, standardization, normalization, fact tables, and dimension tables
  • Strong problem-solving skills and ability to work independently and collaboratively
  • Excellent communication skills and ability to explain technical concepts to non-technical stakeholders
  • Bachelor-level degree in Computer Science, MIS, CIS, or equivalent experience

What the Team is Saying

Daragh Borelan

Applied Systems Compensation & Benefits Highlights

  • Healthcare Strength Healthcare is presented as starting on day one with medical, dental, and vision coverage alongside wellness incentives and mental‑health resources. Inclusive options such as transgender‑care coverage and fertility support are also highlighted.
  • Parental & Family Support Paid parental leave of about six weeks for all parents is emphasized, together with family medical leave, childcare resources, and onsite mothers’ rooms. These elements position family support as a notable pillar of the package.
  • Leave & Time Off Breadth Multiple paid time‑off types are described, including vacation, sick time, holidays, floating holidays, a birthday day, volunteer time, wellness days, and bereavement leave. Several of these begin on day one, underscoring breadth and immediacy.

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The Company
HQ: Chicago, IL
3,116 Employees
Year Founded: 1983

What We Do

Applied is the connective intelligence transforming how insurance works. We build the platforms, data, and agentic systems that connect the entire insurance journey, turning months of manual work into moments. We keep work flowing, from thousands of agencies and carriers to the millions of policyholders they protect.

Why Work With Us

The most advanced technology in insurance does not build itself; people do. We care about the strength of our products because we care about our customers' wins, and we bring that same care to the people who build them. Here you get rare scope to build what an entire market runs on. This is where careers move an industry.

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About our Teams

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

At Applied, we trust that our people will achieve the outcomes and deliver high-impact results to our customers, in whatever way - hybrid, in-person, or remote - that works best for them.

Typical time on-site: Flexible
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