Data Engineers

As a Data Engineer at this company, your role will involve designing, building, and managing scalable data pipelines. You will be responsible for developing datasets for analytics, AI evaluation, and business metrics. Your key responsibilities will include:

• Designing, building, and managing scalable data pipelines
• Developing datasets for analytics, AI evaluation, and business metrics
• Building fault-tolerant data ingestion & processing systems
• Collaborating with Product, Data Science, Infra, Finance & Research teams
• Participating in data architecture & engineering decisions
• Ensuring data security, integrity & compliance standards

To excel in this role, you will need the following skills

• Proficiency in Python, Scala, or Java
• Experience with Apache Spark, Hadoop, Flink, or HDFS
• Knowledge of ETL Scheduling using Airflow
• Familiarity with Distributed Data Processing
• Strong debugging & optimization skills

Additionally, it would be beneficial to have experience with Databricks and the GCP Stack, including Pub/Sub, Dataflow, BigQuery, and GCS.

Qualifications required for this position include a B.Tech / B.E in Computer Science or a related discipline. If you have 57 years of experience and are looking for a challenging opportunity in Bangalore, this role might be a great fit for you. As a Data Engineer at this company, your role will involve designing, building, and managing scalable data pipelines. You will be responsible for developing datasets for analytics, AI evaluation, and business metrics. Your key responsibilities will include:

• Designing, building, and managing scalable data pipelines
• Developing datasets for analytics, AI evaluation, and business metrics
• Building fault-tolerant data ingestion & processing systems
• Collaborating with Product, Data Science, Infra, Finance & Research teams
• Participating in data architecture & engineering decisions
• Ensuring data security, integrity & compliance standards

To excel in this role, you will need the following skills

• Proficiency in Python, Scala, or Java
• Experience with Apache Spark, Hadoop, Flink, or HDFS
• Knowledge of ETL Scheduling using Airflow
• Familiarity with Distributed Data Processing
• Strong debugging & optimization skills

Additionally, it would be beneficial to have experience with Databricks and the GCP Stack, including Pub/Sub, Dataflow, BigQuery, and GCS.

Qualifications required for this position include a B.Tech / B.E in Computer Science or a related discipline. If you have 57 years of experience and are looking for a challenging opportunity in Bangalore, this role might be a great fit for you.