Skills Required:
Must to Have:
- 14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.
- Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.
- Experience designing and implementing large-scale Big Data and Data Lake architectures supporting analytics, reporting, and AI workloads.
- Strong understanding of Hadoop platform architecture, including HDFS, YARN, high availability, cluster management, workload optimization, and scalability.
- 14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.
- Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.
- Experience designing and implementing large-scale Big Data and Data Lake architectures supporting analytics, reporting, and AI workloads.
- Strong understanding of Hadoop platform architecture, including HDFS, YARN, high availability, cluster management, workload optimization, and scalability.
- Expertise in batch and distributed data processing using Spark, Hive, HBase, and MapReduce frameworks.
- Experience building data ingestion and streaming solutions using Kafka and Hadoop ecosystem tools.
- Strong knowledge of Data Engineering practices, including ETL/ELT, data integration, data quality, metadata management, lineage, observability, and DataOps.
- Experience with Data Lake, Data Warehousing, Enterprise Data Models, Master Data, and Data Governance frameworks.
- Strong understanding of security and governance controls, including Kerberos, Ranger, encryption, privacy, auditability, compliance, and controlled data access.
- Proven experience in architecture definition, HLD/LLD creation, migration planning, technical governance, production readiness, and performance optimization.
- Experience supporting platform modernization, cloud adoption, solutioning, effort estimation, and client-facing technical discussions.
- Good understanding of BFSI regulatory, security, privacy, resilience, and audit requirements.
- Preferred certifications in Hadoop, Spark, Cloud Data Engineering, Enterprise Architecture, Data Management, Security, or Big Data Platforms.
“Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.”
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