We are looking for a hands-on Data Engineer with strong Python and SQL skills to build scalable data pipelines, ETL/ELT processes, integrations, and data solutions.
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Key Responsibilities
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Design and develop scalable data ingestion, ETL/ELT and transformation pipelines.
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Develop production-quality solutions using Python and advanced SQL.
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Integrate data from databases, REST APIs, files, and enterprise applications.
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Work with relational and NoSQL databases.
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Implement data validation, cleansing, reconciliation, deduplication and quality checks.
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Develop and consume REST APIs for data integration.
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Optimize queries and pipelines for performance and scalability.
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Implement logging, error handling, retry and monitoring mechanisms.
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Develop unit, integration and data-quality tests.
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Work with Git, CI/CD, Linux and Docker.
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Collaborate with architects,
developers and AI/ML teams.
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Mandatory Skills
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Python – Strong
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SQL – Solid/Advanced
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ETL/ELT & Data Pipelines
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Pandas / NumPy / PyArrow
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PostgreSQL / SQL Server / MySQL
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MongoDB or NoSQL
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REST APIs & JSON
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Data Modeling & Data Quality
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Git / GitHub / GitLab
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PyTest / Unit Testing
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Linux & Docker
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CI/CD
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Good to Have
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Elasticsearch / OpenSearch / Apache Solr
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Parquet and other data formats
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AI/GenAI exposure
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Data lineage and metadata concepts
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Candidate Profile
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Strong analytical and problem-solving skills
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Valuable software engineering practices
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Ability to independently troubleshoot issues
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Valuable communication and collaboration skills
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Bachelor's/Master's degree in CS, IT, Engineering, Data Science or related field
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Interested candidates can share thei
📌 Data Engineer Bengaluru (India)
🏢 Eximietas Design
📍 India
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