About Algotale
At Algotale, we believe in the transformative potential of data to reshape industries, drive innovation, and create unparalleled value. Established in 2020 by a team of passionate and visionary professionals, Algotale set out to redefine the landscape of IT services and consulting by integrating a data-centric approach into every solution we design.
Our journey began with a focus on creating customized, data-driven solutions that directly address the unique challenges and ambitions of our clients. Over the years, our dedication to excellence has allowed us to grow into a trusted partner for businesses across industries, supporting them through every stage of digital transformation. Today, Algotale stands as a prominent player in the IT consulting world, known for our agility, innovation, and commitment to delivering results.
With a team of over 500 skilled professionals, we specialize in IT services, staffing, and consulting, empowering our clients to unlock the full potential of their data. Our expertise extends across data analytics, artificial intelligence, machine learning, and cutting-edge cloud solutions. By leveraging these technologies, we help organizations build resilient digital infrastructures, optimize operations, and achieve strategic growth.
As the digital landscape evolves, so does our commitment to pushing boundaries, embracing new challenges, and exceeding client expectations. At Algotale, we don’t just provide solutions; we forge partnerships built on trust, insight, and a shared drive to thrive in an increasingly data-driven world.
Website: www.algotale.com
Industry: IT Services and Consulting
Company Size: 501–1,000 employees
Founded: 2020
Specialties: IT Services, IT Staffing, IT Consulting
Job Description – Data Engineer
About the Role
The Data Engineer will design, build, and maintain end-to-end ETL pipelines that move data from
SQL-based staging systems (source) into Salesforce (destination). This role focuses on ensuring
data quality, performance optimization, and pipeline reliability in high-volume enterprise
environments.
Responsibilities
Data Maintenance & Cleaning
• Manage data in staging tables, ensuring accuracy, completeness, and integrity.
• Perform data cleaning, validation, duplicate removal, and restricted picklist handling before
Salesforce loads.
Data Transformation & Integration
• Build and optimize ETL logic to map staging fields into Salesforce objects.
• Use Salesforce Bulk API (v1/v2) for large-scale batch loads with error handling.
• Implement parallel and incremental loading strategies to improve performance.
Pipeline Scheduling & Automation
• Develop automated workflows using SSIS or ADF to move data from staging → Salesforce.
• Implement retry logic, rerouting, and run tables to track load attempts.
• Monitor pipelines and proactively fix failures.
Performance Engineering
• Tune SQL queries, transformations, and data flow tasks for scalability.
• Reduce execution time on large datasets by using partitioning, indexing, and batch
optimization.
Collaboration & Documentation
• Work with Salesforce Developers and QA teams to deliver reliable data pipelines.
• Document pipeline design, error patterns, and reusable frameworks for knowledge sharing.
Skills Required
• Strong SQL (query tuning, stored procedures, performance optimization).
• Strong analytical skills.
• Good communication skills.
Good to Have Skills
• Hands-on with ETL tools (SSIS, Airflow, ADF).
• Experience with Salesforce data loading (objects, Bulk API v1/v2, schema mapping).
• Proficiency in Python or Java for transformations and automation.
• Knowledge of parallel processing, incremental loads, and error handling frameworks.
• Familiarity with version control (Git) and CI/CD tools (Jenkins).
