Senior Data Engineer | Databricks | Immediate Joiner

Role & responsibilities : The ideal candidate would be a skilled Data Engineer proficient in Python, Scala, or Java with a strong background in Hadoop, Spark, SQL, and various data platforms and have expertise in optimizing the performance of data applications and contributing to rapid and agile development processes. Review and understand business requirements ensuring that development tasks are completed within the timeline provided and that issues are fully tested with minimal defects Partner with a software development team to implement best practices and optimize the performance of Data applications to ensure that client needs are met at all times Collaborate across the company and interact with our customers to understand, translate, define, design their business challenges and concerns into innovative solutions Research on new Big Data technologies, assessing maturity and alignment of technology to business and technology strategy Work in a rapid and agile development process to enable increased speed to market while maintaining appropriate controls What you need: BE/B.Tech/MCA with At least 4+ years of experience in design and development using Data Engineering technology stack and programming languages Mandatory experience in following areas: Python/Scala/Java Hadoop, HDFS, MR Spark SQL, Dataframes, RDDs SQL Hive / Snowflake/SQL Server/Bigquery Elastic Search Preferred experience in 3 or more of the following areas: Spark Streaming, Spark ML Kafka/Flume Apache NiFi Apache Airflow/Oozie Cloud-based Data Platforms NoSQL Databases HBase/Cassandra/Neo4j/MongoDB Good knowledge of the current technology landscape and ability to visualize industry trends Working knowledge of Big Data Integration with Third-party or in-house built Metadata Management, Data Quality, and Master Data Management solutions Active community involvement through articles,blogs or speaking engagements at conferences