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- Strong development experience in Python, PySpark, and SQL.
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- Experience with cloud platforms (GCP preferred).
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- Experience working in an Agile delivery setting.
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- Experience with orchestration tools such as Airflow and ADF.
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- Experience with GCP services:
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- GCS Bucket
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- Cloud Functions
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- Dataproc
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- Dataflow
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- Pub/Sub
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- BigQuery
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- Hands-on experience in Snowflake.
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- Experience building automated data pipelines.
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- Experience in data analysis and data exploration.
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- Experience working in a multi-developer environment using version control tools such as Git.
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- Strong critical thinking, communication, and problem-solving skills.
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Good-to-Have
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- Understanding of DevOps best practices and CI/CD.
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- Understanding of containerization technologies such as Kubernetes and Docker.
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- Healthcare domain knowledge.
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Key Responsibilities
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- Perform data analytics on large-scale datasets to solve complex business problems and recommend solutions.
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- Develop and enhance end-to-end data pipelines using big data technologies such as Hadoop, Cloud platforms, and the Spark ecosystem.
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- Troubleshoot complex data structures and perform root cause analysis to proactively resolve operational and product issues.
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- Develop and document test cases, execute testing, and share UAT results as part of Agile sprints.
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- Perform end-to-end data pipeline integration testing in compliance with change management processes and standards.
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- Adhere to coding, design, and application standards, including Python and SQL best practices.
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- Leverage DevOps practices for production deploym
📌 GCP Senior Data Engineer (Salem)
🏢 Tata Consultancy Services
📍 Salem
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