Chief Data Architect

3 days ago

Mount Abu, Rajasthan, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 20,00,000

Job Title: Data Architect

Overview

We are seeking a skilled Data Engineer to join our team. As a key member of our organization, you will be responsible for designing and implementing data pipelines and architectures that support business growth and decision-making.

Responsibilities
  1. Create and maintain optimal data pipeline architecture
  2. Create and maintain events/streaming based architecture/design
  3. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  4. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.
  5. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  6. Work with data scientists to strive for greater functionality in our data systems.
Qualifications

To succeed in this role, you should have:

  • Proficiency in either Scala or Python, expertise in Spark, and experience with performance tuning and optimization. DBT is also mandatory.
  • 2+ years of experience in a Data Engineer role.
  • Experience with big data tools: HDFS/S3, Spark/Flink,Hive,Hbase, Kafka/Kinesis, etc.
  • Experience with relational SQL and NoSQL databases, including Elasticsearch and Cassandra/Mongodb.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS /GCP cloud services
  • Experience with stream-processing systems: Spark-Streaming/Flink etc.
  • Experience with object-oriented/object function scripting languages: Java, Scala, etc.
  • Strong analytic skills related to working with structured/unstructured datasets.
  • Build processes supporting data transformation, data structures, dimensional modeling, metadata, dependency, schema registration/evolution and workload management.
  • Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Have a few weekend side projects up on GitHub
  • Have contributed to an open-source project
  • Have worked at a product company
  • Have a working knowledge of a backend programming language
  • Programming Language (Mandatory) → Candidate should be really good in either Scala OR Python (not necessarily both).
  • Big Data Framework (Mandatory) → Strong hands-on expertise in Apache Spark.
  • Must know how to write Spark jobs and also tune/optimize them for better performance (not just basic Spark usage).
  • Performance Tuning & Optimization (Mandatory) → Able to handle large datasets efficiently.
  • Optimize Spark jobs (partitions, shuffles, caching, memory usage, etc.)
  • DBT (Mandatory) → Must have hands-on experience with dbt (Data Build Tool) for data transformations and data modeling.

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