(Services) Data Engineer

Posted 15 Hours Ago
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Hyderabad, Telangana, IND
In-Office
Senior level
Fintech
The Role
Design, build, and optimize large-scale ETL/ELT pipelines and cloud data platforms across Azure and GCP. Integrate data from multiple systems (Salesforce, NetSuite, BambooHR), optimize Spark and SQL performance, enforce governance and security, deliver data models/warehouses, and document pipelines while collaborating with stakeholders and mentoring junior engineers.
Summary Generated by Built In

As a Data Engineer
You design, build, and optimize large-scale data pipelines and platforms across cloud environments. You manage data integration from multiple business systems, ensuring high data quality, performance, and governance. You collaborate with cross-functional teams to deliver trusted, scalable, and secure data solutions that enable analytics, reporting, and decision-making.

Meet the job

Data Engineering: Design, build, and optimize scalable ETL/ELT pipelines using Azure Data Factory, Databricks, PySpark, and SQL;
 ● Cloud Data Platforms: Manage and integrate data across Azure (Synapse, Data Lake, Event Hub, Key Vault) and GCP (BigQuery, Cloud Storage);
 ● API Integration: Develop workflows for data ingestion and processing via REST APIs and web services, including integrations with BambooHR, Salesforce, and Oracle NetSuite;
 ● Data Modeling & Warehousing: Build and maintain data models, warehouses, and lakehouse structures to support analytics and reporting needs;
 ● Performance Optimization: Optimize Spark jobs, SQL queries, and pipeline execution for scalability, performance, and cost-efficiency;
 ● Governance & Security: Ensure data privacy, security, and compliance while maintaining data lineage and cataloging practices;
 ● Collaboration: Partner with business stakeholders, analysts, and PMO teams to deliver reliable data for reporting and operations;
 ● Documentation: Create and maintain technical documentation for data processes, integrations, and pipeline workflows;
How about you

Education: Bachelor’s/Master’s degree in Computer Science, Engineering, Analytics, Mathematics, Statistics, IT, or equivalent;
 ● Experience: 5+ years of experience in Data Engineering and large-scale data migration projects;
 ● Technical Skills: Proficient in SQL, Python, and PySpark for data processing and transformation;
 ● Big Data & Cloud: Hands-on expertise with Apache Spark, Databricks, and Azure Data Services (ADF, Synapse, Data Lake, Event Hub, Key Vault);
 ● GCP Knowledge: Exposure to Google Cloud Platform (BigQuery, Cloud Storage) and multi-cloud data workflows;
 ● Integration Tools: Exposure to tools such as Workato for API-based data ingestion and automation;
 ● Best Practices: Strong understanding of ETL/ELT development best practices and performance optimization;
 ● Added Advantage: Certifications in Azure or GCP cloud platforms;
 ● Domain Knowledge: Preferable to have knowledge of Oracle NetSuite, BambooHR, Salesforce data ingestion, and PMO data operations;
 ● Soft Skills: Strong problem-solving skills, effective communication, and ability to work both independently and in cross-functional teams while mentoring junior engineers.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, Analytics, Mathematics, Statistics, IT, or equivalent
  • 5+ years of experience in Data Engineering and large-scale data migration projects
  • Proficient in SQL, Python, and PySpark for data processing and transformation
  • Hands-on expertise with Apache Spark, Databricks, and Azure Data Services (ADF, Synapse, Data Lake, Event Hub, Key Vault)
  • Strong understanding of ETL/ELT development best practices and performance optimization
  • Experience developing data ingestion workflows via REST APIs and integrating with systems like Salesforce, BambooHR, and Oracle NetSuite
  • Experience building and maintaining data models, warehouses, and lakehouse structures for analytics
  • Ability to create and maintain technical documentation and mentor junior engineers; strong communication and problem-solving skills
  • Exposure to Google Cloud Platform (BigQuery, Cloud Storage) and multi-cloud data workflows
  • Exposure to integration/automation tools such as Workato
  • Certifications in Azure or GCP cloud platforms
  • Domain knowledge of Oracle NetSuite, BambooHR, Salesforce data ingestion and PMO data operations

Backbase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Backbase and has not been reviewed or approved by Backbase.

  • Fair & Transparent Compensation Pay is considered fair in certain U.S. roles, with strong offers in senior engineering, solutions architecture, and sales tracks in higher‑paying markets. In some U.S. contexts, compensation is described as fair for the job.
  • Leave & Time Off Breadth PTO is described as generous in the U.S., with separate sick time and paid holidays contributing to a supportive time‑off setup.
  • Wellbeing & Lifestyle Benefits Hybrid/remote work programs, office perks like snacks, and learning‑budget messaging provide lifestyle flexibility and support beyond baseline coverage.

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The Company
951 Employees
Year Founded: 2003

What We Do

Backbase is a fast growing fintech software provider that empowers financial institutions to accelerate their digital transformation and effectively compete in a digital-first world. We are the creators of the Backbase Omni-Channel Banking Platform, a state-of-the-art digital banking software solution that unifies data and functionality from traditional core systems and new fintech players into a seamless digital customer experience. We give financials the speed and flexibility to create and manage seamless customer experiences across any device, and deliver measurable business results. We believe that superior digital experiences are essential to stay relevant, and our software enables financials to rapidly grow their digital business. More than 120 financials around the world have standardized on the Backbase omni-channel banking platform to streamline their digital sales and self-service operations across all digital touchpoints. Our customer base includes ABN AMRO, Bank ABC, Barclays, BPI, CheBanca!, Citizens Lightstream, Credit Suisse, Fidelity, HDFC, IDFC, KeyBank, Ila Bank, Me Bank, Navy Federal, PostFinance, RBC, RBS, Standard Bank, Societe Generale, Truist, U Bank and Westpac. Industry analysts Celent, Gartner, Forrester and Ovum recognize Backbase as an industry leader in terms of omni-channel banking platform capabilities, and award the company high marks for its deep focus on customer experience management and unparalleled speed of implementation. Forrester named us a leader in the Forrester Wave for Omni-Channel Banking and Ovum nominates Backbase as the market leading provider of next-generation digital channel banking platforms. Backbase was founded in 2003, is privately funded, with headquarters in Amsterdam (HQ Global) and Atlanta (HQ Americas) and regional operations in Boisse, Cardiff, Dubai, Kraków, Mexico City, New York, Toronto, Singapore, Sydney and Tokyo.

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