Bangalore, Karnataka, India
Information Technology
Full-Time
algoleap
Overview
Key Responsibilities- Partner closely with data consumers (Analytics, Product, Business) to translate business requirements into scalable data solutions
- Design, build, and own high-performance, reusable, and scalable data models for the data warehouse, enabling consistent self-service analytics
- Develop and optimize complex data transformations using SQL and Python
- Own the full data lifecycle: ingestion, transformation, testing, deployment, monitoring, and documentation
- Ensure high data quality through validation, testing, and proactive issue detection
- Contribute to analytics enablement by preparing curated datasets suitable for advanced analysis and predictive use cases
- Work across a modern cloud data stack including Snowflake, Databricks, Airflow, Fivetran, AWS, and GCP (BigQuery, Cloud Composer, Dataflow)
- 7+ years of experience as a Data Engineer or Software Engineer in a fast-paced, data-driven environment
- Proven ability to lead end-to-end data engineering projects with minimal supervision
- Strong expertise in SQL and Python, with hands-on experience in data modeling and data warehousing
- Experience with transformation frameworks and orchestration tools such as dbt, Airflow, Cloud Data-flow
- Solid understanding of software engineering best practices applied to data (version control, testing, CI/CD)
- Strong experience building scalable data pipelines and warehouses using cloud platforms (Snowflake, AWS, GCP, Data-bricks/Spark)
- Hands-on experience with ETL/ELT processes, scheduling tools, and API-based data integrations
- Familiarity with data visualization tools (e.g. Looker, Tableau, Adobe Analytics, Power BI) to support analytics use cases
- Strong attention to detail and a proactive approach to identifying and resolving data quality issues
- Self-starter with strong ownership, problem-solving, communication, and stakeholder management skills
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