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Greetings from TCS!! TATA Consultancy Services is hiring for Pyspark Developer Desired experience range: 4 to 8 years Job location: Hyderabad, Chennai, Kolkata, Mumbai, Bhubaneswar and Pune Job description: As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing in Big Data environment using predominantly PySpark/Python. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems using PySpark. Roles & Responsibilities: · Design, develop, and maintain robust, scalable high-performance Data Pipelines using PySpark. · Create data pipelines, ensuring data quality, and implement ETL processes to migrate and deploy data across systems. · Migrate Ab Initio ETL Applications into Pyspark based data pipelines · Migrate On Prem workloads into Cloud(AWS, Databricks, Snowflake) based on use cases. · Collaborate with cross-functional teams to identify and resolve data-related issues. · Stay updated with the latest advancements in data engineering and integrate innovative approaches for sustained competitive advantage. Qualifications: • 4+ years of professional experience in Hadoop, PySpark/Python development. • Proven expertise in PySpark and experience in handling huge volume of data • 3+ working experience in AWS, Databricks/Snowflake, Airflow • Familiarity with CI/CD pipelines and version control systems (e.g., Git). • Strong debugging and problem-solving skills. • Excellent communication and collaboration skills.
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In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.