Jobs at Blackbuck Insights LLC

Develop and design robust Ab Initio solutions using advanced concepts such as project architecture, metaprogramming, vectors, parallelism, performance tuning, debugging, SMP/MPP architectures, and platform integrations. Use Linux and shell scripting, work with databases, and support integrations with Kafka and Redis. Collaborate across teams, document solutions, interact with senior management, and contribute within an Agile development lifecycle.

Develop and maintain ETL and data warehousing solutions using the Ab Initio Suite, including GDE, Co-Operating System, EME, and PDL. Work with Oracle and relational databases, write SQL and Unix shell scripts, and use job schedulers such as Control-M or Autosys within Agile development practices. This is a remote position requiring 4 to 6 years of hands-on experience.

The Quality Assurance Engineer will analyze requirements, create test cases, and develop Java-based automated tests using BDD frameworks. Responsibilities include REST API testing with Postman, functional, integration, regression, and end-to-end testing, defect lifecycle management, Agile collaboration, test reporting, and CI/CD support. The role requires strong Java, Cucumber BDD, API validation, Unix/Linux, Git, debugging, and communication skills. Preferred experience includes Serenity BDD, Rest Assured, Maven, JUnit, SQL, and database validation.

Designs, builds, governs, and supports scalable analytics and data engineering solutions on Microsoft Fabric and Azure. Responsibilities include developing pipelines, lakehouse and semantic models, real-time solutions, and high-performance SQL, Spark, and DAX workloads. The role also manages platform administration, security, governance, testing, monitoring, incident resolution, optimization, and CI/CD. It partners with stakeholders, facilitates design workshops, supports enterprise architecture, mentors teams, and contributes to project estimation.

Design and maintain conceptual, logical, and physical data models using SQLDBM and Snowflake. Translate business requirements into production-ready schemas, generate and optimize DDL, manage schema versioning and drift detection, and maintain data dictionaries, metadata, and lineage. Collaborate with architects, engineers, analysts, and stakeholders on dimensional and relational modeling, data governance, query performance, indexing, and clustering strategies.

Lead the design and development of scalable machine learning infrastructure, including training, evaluation, deployment, model serving, feature stores, data pipelines, CI/CD, monitoring, and governance. Optimize production inference systems, ensure reliability and performance, collaborate with research and engineering teams, review architecture and code, and mentor junior ML engineers.

Leads end-to-end machine learning research, including problem definition, experimentation, model development, evaluation, and production deployment. Develops advanced models and scalable training pipelines using modern frameworks, collaborates with ML Engineering, MLOps, Product, and Data Engineering, and defines datasets and labeling strategies. Mentors junior researchers, reviews technical work, establishes reproducibility standards, and contributes to AI strategy, roadmap planning, and team development.

Owns finance and accounting operations for US and India entities, including financial close, reporting, FP&A, treasury, cash management, tax and regulatory compliance, audits, internal controls, and process improvement. Manages systems including QuickBooks Online, Tally, Excel, and Power BI while providing financial analysis, forecasts, dashboards, and strategic insights to leadership. Coordinates with internal stakeholders, auditors, tax advisors, banking partners, and external consultants across global operations.

Build and manage data pipelines, ETL workflows, and DAGs using dbt, Apache Airflow, Python, SQL, and Snowflake. Develop custom Airflow operators and hooks, perform data modeling and source-to-target mapping, and implement data quality and cleansing processes. Use cloud platforms, CI/CD, version control, and Snowflake utilities including Snowpipe, Tasks, Streams, stored procedures, and data sharing. Collaborate across teams, communicate insights, solve complex problems, and participate in on-call escalation.