Chief Data Architecture Specialist

4 days ago

Gurgaon, Haryana, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Summary:

This role involves participating in the entire data pipeline lifecycle, focusing on building robust data lakes and warehouses, as well as related processes. We are looking for an experienced Data Engineer to join our team and contribute to the design and documentation of our data lake platform.

Key Responsibilities:
  • Participate in the development and maintenance of data governance policies and procedures to ensure data quality, accuracy, consistency, and privacy.
  • Mentor junior team members and provide technical guidance to ensure they have the necessary skills and resources to perform their duties.
  • Conduct code and design reviews with junior and peer developers to ensure high-quality solutions.
  • Write clean code to develop data pipelines and necessary infrastructure as code.
  • Partner with cross-functional teams to understand requirements and effectively design appropriate solutions.
  • Monitor and troubleshoot performance, scalability, and security issues, making improvements as needed.
Requirements:
  • 8 years of related experience; or 6 years and an advanced degree.
  • Bachelor's degree in engineering, computer science, math, data engineering, or another related field, or equivalent work experience.
  • Experience in the development of modern data architecture, analytics, data governance, AI/ML, or related areas.
  • Strong Experience with AWS big data technologies, including EMR, Glue, S3, EKS, Lambda, Athena, RDS, MKS/Kafka/Kinesis.
  • Expertise with relational and NoSQL databases, such as PostgresQL, Cassandra, DynamoDB, MongoDb, etc., and data modeling principles.
  • Knowledge of data pipeline tools and workflow engines, e.g. Apache Airflow and Spark.
  • Experience with DevOps, including CI/CD pipelines, containerized deployment/Kubernetes, and infrastructure-as-code/AWS Cloud Formation/Terraform.
  • Successfully contributes to the entire development lifecycle of teams' products.
Preferred:
  • FinTech industry experience.
  • Understanding of MPP Data Warehouse (Redshift, Greenplum).
  • Experience with Graph database.

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