Responsibilities

- Design, develop, and maintain scalable data pipelines using modern orchestration frameworks (Apache Airflow, Apache Spark, Kafka).

- Build data ingestion solutions from diverse sources, including ERP systems (SAP, Oracle), CRM platforms (Salesforce, Workday), and cloud data warehouses.
- Implement data quality frameworks, validation rules, and monitoring to ensure high-quality data across all applications.
- Optimise data processing workflows for performance, reliability, and cost-efficiency in cloud-native environments.
- Collaborate with BI Engineers and Data Modellers to ensure seamless data flow from source systems to analytical dashboards.
- Write clean, reusable, and well-tested code following software engineering best practices (code reviews, unit testing, CI/CD).

Requirements

- 5-12 years of proven experience in building production-grade data pipelines and ETL/ELT solutions.
- Strong proficiency in Python for data engineering (pandas, PySpark, SQLAlchemy, data processing libraries).
- Advanced SQL skills, including complex joins, window functions, query optimisation, and performance tuning.
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) and cloud-native data services.
- Familiarity with orchestration frameworks such as Apache Airflow, Apache Spark, Kafka, or similar tools.
- Experience with modern data warehouses (Snowflake, Databricks, BigQuery, Redshift), including data modelling and optimisation.
- Knowledge of ERP/CRM systems integration (SAP, Oracle, Salesforce, Workday) - extracting data via APIs, connectors, or database access.
- Strong understanding of data quality principles, testing frameworks, and validation methodologies.
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
- Experience with AI-powered productivity tools (Cursor, Windsurf, Claude, GitHub Copilot) for accelerated development.




- Hands-on Java experience and understanding of enterprise application design patterns.
- Experience working with the ServiceNow platform or similar enterprise workflow platforms.
- Knowledge of real-time streaming architectures (Kafka Streams, Flink) for industrial/IoT analytics.
- Experience with containerization (Docker, Kubernetes) and modern CI/CD practices.
- Familiarity with AI/ML pipeline integration, feature engineering, and model serving infrastructure.

Company Summary

Alora was founded with the goal of offering expert consulting services with a personalized approach, tailored to meet the needs of businesses. From guiding well-established multinational entities through complex challenges to supporting startups in their early development, we provide a range of specialized services. Recognizing the demand for an integrated service delivery, we deliver expertise across finance, business strategy, tax, and technology, with dedicated leaders in each field. In addition to our in-house capabilities, we collaborate with a network of partners both within India and globally to offer a broad spectrum of services.

Alora

Advisors LLP is dedicated to being the preferred consultants and advisors for all finance, tax, and legal matters. Our diverse team of experienced professionals is well equipped to provide creative and practical solutions and recommendations tailored to the needs of our clients seamlessly.

Why Join Us We at Alora Advisors work in various areas like taxation, corporate law, financial advisory, and compliance. Gain knowledge from experienced professionals and enhance your skills. Take on meaningful tasks and build expertise in a dynamic setting.

We offer mentorship, training, and a explicit growth path within the firm. Get real-world experience in finance, consulting, and compliance. Work in a collaborative and skilled environment!

Required Skills ['Amazon Redshift', 'BigQuery', 'Data Analysis', 'Data Streaming', 'Data Warehousing', 'Databricks', 'ETL', 'Flink', 'Java', 'Kafka', 'Oracle Database', 'Python', 'SQL', 'Snowflake', 'Spark']

Additional Information

NA

📌 Data Engineer (Bangalore East)
🏢 HuntingCube
📍 Bangalore East