Chief Data Engineer

3 days ago

Jamnagar, Gujarat, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,20,00,000
Job Title:

Technical Architect - Data

Overview

This role is responsible for designing and implementing data pipelines, data integration solutions, and data engineering systems. You will lead multiple data engagements on GCP Cloud for data lakes, data migration, data warehouse, and business intelligence.

You will work with stakeholders to understand data requirements, design scalable data warehouse solutions, and develop distributed, high-volume, multi-thread batch, real-time, and event processing systems.

Key Responsibilities:
  • Translate business requirements into functional and non-functional areas, defining non-functional boundaries in terms of availability, scalability, performance, security, resilience, etc.
  • Architect, design, and implement end-to-end data pipelines and data integration solutions for varied structured and unstructured data sources and targets.
  • Work with distributed computing and enterprise environments like Hadoop, GCP/AWS/Azure Cloud.
  • Utilize various data integration and ETL technologies on Cloud like Spark, Pyspark/Scala, Dataflow, DataProc, EMR, etc.
  • Collaborate with traditional ETL tools like Informatica/DataStage/OWB/Talend, etc.
  • Deep knowledge of one or more cloud and on-premise databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server, etc.
  • Exposure to No-SQL databases like MongoDB, CouchDB, Cassandra, Graph DB, etc.
  • Design and architect scalable data warehouse solutions on cloud on Big Query or Redshift.
  • Work with data integration, storage, and data pipeline toolsets like S3, Cloud Storage, Athena, Glue, Sqoop, Flume, Hive, Kafka, Pub-Sub, Kinesis, Dataflow, DataProc, Airflow, Composer, Spark SQL, Presto, EMRFS, etc.
  • Prior experience working with Machine Learning Frameworks like TensorFlow, PyTorch, etc.
  • Good understanding of cloud solutions for Iaas, PaaS, SaaS, Containers, and Microservices Architecture and Design.
  • Ability to compare products and tools across technology stacks on Google, AWS, and Azure Cloud.
  • Knowledge of BI reporting and dashboarding using toolsets like Looker, Tableau, Power BI, SAP BO, Cognos, Superset, etc.
  • Understanding of Security features and policies in one or more cloud environments like GCP/AWS/Azure.
  • Experience working in business transformation projects for movement of on-premise data solutions to clouds like GCP/AWS/Azure.
Requirements:
  • 8 years of experience in technical, solutioning, and analytical roles.
  • 5 years of experience in building and managing data lakes, data warehouses, data integration, data migration, and business intelligence/artificial intelligence solutions on Cloud (GCP/AWS/Azure).
  • Strong communication and articulation skills.
  • Good leadership skills.
  • Being a good team player.
  • Good analytical and problem-solving skills.
Benefits

As a Technical Architect - Data, you will lead multiple data engagements on GCP Cloud for data lakes, data engineering, data migration, data warehouse, and business intelligence. You will interface with multiple stakeholders within IT and business to understand the data requirements.

You will take complete responsibility for the successful delivery of all allocated projects on the parameters of Schedule, Quality, and Customer Satisfaction.

Additionally, you will work with the Pre-Sales team on RFP, RFIs, and help them create solutions for data. You will mentor young talent within the team, define, and track their growth parameters. You will contribute to building assets and accelerators.

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