Role & responsibilities

- Data Architecture: Design and implement scalable and robust backend data architectures to support business intelligence, analytics, and machine learning initiatives.

- ETL Development: Develop and maintain efficient Extract, Transform, Load (ETL) pieplines to move and transform data from diverse sources into our data warehouse.

- Database Management: Manage and optimize databases, ensuring data quality, integrity, and security. Implement indexing, partitioning, and other performance optimization strategies.

- Data Integration: Collaborate with cross-functional teams to integrate data from various sources and ensure a cohesive and accurate representation of business information.

- Data Modeling: Design and implement data models to support business requirements and facilitate data analysis.

- Coding and Scripting: Write efficient and maintainable code in languages such as Python, Java, or Scala to implement data pipelines and automation processes.

- Workflow Automation: Implement and manage workflow automation tools such as Apache Airflow to orchestrate and schedule data processing tasks.

- Monitoring and Optimization: Monitor system performance, troubleshoot issues, and implement optimizations for data processing and storage.

- Documentation:



Create and maintain comprehensive documentation for data processes, data models, and infrastructure configurations.

- Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and provide support for their initiatives.

Preferred candidate profile

- Bachelor's degree B.Tech/BE in Computer Science, Information Systems, or a related field.

- Proven experience as a Backend Data Engineer with 4-8 years of hands-on experience in data engineering and backend development.

- Strong proficiency in programming languages like Python, Java, or Scala.

- Proficiency & hands-on on databases such as MongoDB, DynamoDB, Redis, Cassandra, HBase, ElasticSearch etc.

- Proficiency & hands-on on Message Broker Services such as Kafka, RabbitMQ, AWS SQS/SNS etc.

- Valuable knowledge working on cloud platforms such as AWS, Azure, or GCP.

- Good knowledge on Big data platforms such as Apache Spark, Hadoop, Cloudera, Snowflake, Databricks etc

- Experience with workflow automation tools such as Apache Airflow.

- Excellent problem-solving and analytical skills.

- Strong communication and collaboration skills.

📌 Senior Data Engineer (Gurugram)
🏢 Symboticware Ai
📍 Gurugram