Ey - Gds Consulting - Ai And Data - Data Architect - Hadoop - Manager
- EY
- 8 - 13 years
- Hyderabad
- 3 months ago
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Job Description
Role & responsibilities
- Work as a project manager to Lead the design and evolution of our large-scale data lakehouse architecture, ensuring it is scalable, reliable, and cost-effective.
- Provide technical leadership and mentorship to data engineers and analysts. Collaborate closely with Software Engineers, and business stakeholders to understand requirements and deliver effective data solutions.
- Experience in data modelling, data mapping, data profiling and meta data management.
- Architect and tune high-performance data processing pipelines. Identify and resolve complex performance issues in distributed computing environments involving Spark execution, Hive query optimization, and Iceberg metadata management.
- Expert Experience on Hadoop (HDFS, YARN), Hive (including LLAP, Tez), Spark (Structured Streaming, Spark SQL), and Apache Iceberg.
- Expert-level proficiency in building and optimizing large-scale data processing pipelines using Spark (PySpark/Scala).
- Deep understanding of Spark internals, execution plans, and tuning.
- Extensive experience in writing, optimizing, and managing HiveQL scripts. Deep knowledge of Hive architecture, file formats (ORC, Parquet), and performance tuning.
- Strong, hands-on experience with the core Hadoop ecosystem (HDFS, YARN, MapReduce). Understanding of cluster management and fundamentals.
- Hands-on experience designing and implementing data lakes using Apache Iceberg as the table format. Must understand features like schema evolution, hidden partitioning, time travel, and performance benefits over Hive tables.
- Experience in either Python (PySpark) or Scala.
- Mastery of SQL and experience optimizing complex queries on massive datasets.
- Experience with at least one major cloud platform (AWS (EMR, S3, Glue), Azure (Databricks, ADLS, Synapse), or GCP (Dataproc, BigQuery, GCS)).
- Interface and communicate with the onsite teams directly to understand the requirement and determine the optimum solutions.
- Create technical solutions as per business needs by translating their requirements and finding innovative solution options.
- Lead and mentor a team throughout design, development and delivery phases and keep the team intact on high pressure situations.
- Get involved in business development activities like creating proof of concepts (POCs), point of views (POVs), assist in proposal writing and service offering development, and capable of developing creative power point content for presentations.
- Create and maintain detailed architecture diagrams, data flow maps, and other technical documentation.
- Participate in organization-level initiatives and operational activities.
Preferred candidate profile
- 8-12 years of experience in Banking and capital markets sector preferred
- Cloud architect certifications
- Experience using Agile methodologies.
- Experience with real-time stream processing technologies (Kafka, Flink, Spark Streaming).
- Experience with containerization and orchestration tools (Docker, Kubernetes).
- Experience with DevOps/DataOps principles and CI/CD pipelines for data projects.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: ConsultingRole Category: IT ConsultingRole: IT Consulting - OtherEmployement Type: Full timeContact Details:
Company: EYLocation(s): Hyderabad+ View Contact
Keyskills: Hadoop Development Spark Design And Implementation Pyspark Big Data Oozie SQL
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