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Data Engineer

Mumbai | Remote (India) • Full-time • Mid • AI/Data
Pipelines, warehousing/lakehouse and data quality.

About the Role

Build and maintain data infrastructure that powers analytics and ML workflows. You'll design data pipelines, implement data quality frameworks, and manage data warehousing solutions.
What You'll Do
What You'll Do
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Design and implement scalable data ingestion pipelines
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Build and maintain data warehouse and lakehouse architectures
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Implement data quality monitoring and validation frameworks
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Create ETL/ELT processes for various data sources
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Optimize query performance and data storage costs
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Establish data governance and lineage tracking
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Collaborate with analysts and data scientists on data requirements
What You'll Bring
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3+ years of data engineering experience
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Strong proficiency in SQL and Python
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Experience with data warehouse technologies (Snowflake, BigQuery, Redshift)
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Knowledge of data pipeline tools (Apache Airflow, Prefect)
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Understanding of data modeling and schema design
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Experience with cloud data services and streaming platforms
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Familiarity with data quality and testing frameworks
What You'll Bring
Nice to Have
Nice to Have
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Experience with real-time data processing (Kafka, Spark Streaming)
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Knowledge of data mesh and modern data stack architectures
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Familiarity with dbt and analytics engineering
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Understanding of data privacy and compliance requirements
Why Join StackBinary?
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Flexible working hours
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Remote-friendly culture
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Learning & development budget
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High-ownership projects
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Pragmatic engineering culture
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Work with cutting-edge tech
Why Join StackBinary

Ready to Apply?

Join our team of builders who love shipping quality software.
Questions about this role?
careers@stackbinary.io
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