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Job Title: Data EngineerLocation: Bangalore, Karnataka (3days onsite a week)Interview type: 3 online and 1 onsite interview Duration: 1 year with possible extensionPayroll: Flexton Inc.Client: Retail MNC Job Description:<ul><li>6-11 years of experience in developing and enhancing batch and streaming data pipelines using Spark SQL or Flink SQL</li><li>Maintain and support production data pipelines, ensuring daily data availability</li><li>Hadoop ecosystem – HDFS & MapReduce</li><li>Experience with Apache Spark (especially Spark SQL and batch processing).</li><li>Strong SQL expertise — ability to write efficient, optimized, and complex SQL queries for large datasets.</li><li>Solid understanding of data pipeline fundamentals, including ingestion, transformation, and loading (ETL/ELT) processes.</li></ul> Thanks,Neha Singhnehasingh@flextoninc.com

Role: Data Engineer – Big Data (Batch & Streaming)Location: Bengaluru, India (Hybrid – 3 days onsite per week)Employer: Flexton Inc.Client Domain: Globally recognized Retail / eCommerce organization Must Have Skills: <ul><li>Engineering degree with 6+ Years hands on Data Engineering experience in an enterprise environment. </li><li>Proven experience architecting and optimizing scalable ETL pipelines for processing large-scale distributed datasets. </li><li>Expert in SQL queries and performance optimization.</li><li>Solid knowledge of Hadoop ecosystem (HDFS, MapReduce, data layouts).</li><li>Experience with batch and real-time data streaming.</li><li>Hands-on with Spark, Spark Streaming, and Kafka.</li><li>Experienced in processing large-scale TB–PB datasets.</li></ul>

We are seeking a Data Engineer with 5+ years of hands-on experience in Spark and SparkSQL, strong SQL expertise, and solid batch processing experience.The role involves building and optimizing data pipelines to support analytics and business needs, ensuring data reliability and performance, and collaborating effectively with cross-functional teams. Must Have skills – Spark, SparkSQL, at least 5+ years working experience with spark. Very Strong SQL, Batch Exp is a must have. Good Project Experience.Python is a plus not a must have.Participate in code reviews, design discussions, and agile delivery processes. Required Skills & Experience:<ul><li>5 years of hands-on experience with Apache Spark (especially Spark SQL and batch processing).</li><li>Strong SQL expertise — ability to write efficient, optimized, and complex SQL queries for large datasets.</li><li>Solid understanding of data pipeline fundamentals, including ingestion, transformation, and loading (ETL/ELT) processes.</li><li>Must have experience with batch data processing (scheduling, dependencies, failure recovery, performance tuning).</li><li>Knowledge of data warehousing concepts and familiarity with relational databases.</li><li>Experience working with structured and semi-structured data (CSV, Parquet, JSON, etc.).</li><li>Strong problem-solving and debugging skills, particularly around pipeline performance and data quality.</li></ul>

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