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Lead Data Engineer
2 months ago
- Designing, developing and maintaining large-scale big data platforms using technologies like Hadoop, Spark and Kafka
- Creating and managing data warehouses, data lakes and data marts
- Implementing and optimizing ETL processes and data pipelines
- Developing and maintaining security and access controls
- Troubleshooting and resolving big data platform issues
- Collaborating with other teams to ensure the consistency and integrity of data
- Foster a collaborative and supportive work environment, promoting open communication and teamwork.
- Demonstrate strong leadership skills, with the ability to inspire and motivate team members to perform at their best.Skills Requirements:
- Experience with big data processing technologies such as Apache Hadoop, Apache Spark, or Apache Kafka.
- Understanding of distributed computing concepts such as MapReduce, Spark RDDs, or Apache Flink data streams.
- Familiarity with big data storage solutions such as HDFS, Amazon S3, or Azure Data Lake Storage.
- Knowledge of big data processing frameworks such as Apache Hive, Apache Pig, or Apache Impala.
- Lead and manage a team of professionals to achieve organizational goals.
- Provide guidance, support, and mentorship to help employees grow and develop professionally and focus on Career Management.Location- GurgaonMin yrs of exp- 6.5Yrs