Customer Expectation:

<ul>
<li>SQL (Mandatory) - Strong expertise in writing complex SQL queries, joins, subqueries, aggregations, and optimizations.</li>
</ul>

<ul>
<li>Java 8 (Mandatory) - Excellent hands-on coding experience in Java 8, including Streams, Lambda expressions, Collections, and functional programming concepts.</li>
</ul>

<ul>
<li>Big Data Storage / Query Layer (Mandatory Any One Required)</li>
</ul>

<ul>
<li>Candidate must have hands-on experience in at least one of the following:</li>
</ul>

<ul>
<li>Hive (HiveQL, tables, partitions, performance tuning), OR</li>
</ul>

<ul>
<li>HDFS (file storage, commands, data ingestion, permissions), OR</li>
</ul>

<ul>
<li>Big Data File Formats such as Parquet, ORC, Avro, JSON</li>
</ul>

<ul>
<li>Kafka or Spark (At least One Required)</li>
</ul>

<ul>
<li>Practical working experience in Apache Kafka (producers, consumers, topics) OR Apache Spark (Spark SQL, DataFrames, batch/stream processing).</li>
</ul>

Big Data Developer

India

Customer Expectation: SQL (Mandatory) - Strong expertise in writing complex SQL queries, joins, subqueries, aggregations, and optimizations. Java 8 (Mandatory) - Excellent hands-on coding experience in Java 8, including Streams, Lambda expressions, Collections, and functional programming concepts. Big Data Storage / Query Layer (Mandatory Any One Required) Candidate must have hands-on experience in at least one of the following: Hive (HiveQL, tables, partitions, performance tuning), OR HDFS (file storage, commands, data ingestion, permissions), OR Big Data File Formats such as Parquet, ORC, Avro, JSON Kafka or Spark (At least One Required) Practical working experience in Apache Kafka (producers, consumers, topics) OR Apache Spark (Spark SQL, DataFrames, batch/stream processing).

Big Data Developer · New Delhi

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Job Description

Job Description for Big Data Developer

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