Lowongan Kerja AVP-Data Integration Engineering di indosat

Deskripsi Pekerjaan:

Info Terbaru Seputar Pekerjaan dari Perusahaan indosat sebagai posisi AVP-Data Integration Engineering. Jika Lowongan Kerja AVP-Data Integration Engineering di Indonesia ini sesuai dengan kriteria anda silahkan langsung mengirimkan lamaran / CV Terbaru anda melalui situs loker terkini dan terupdate Lokerindo.ID.

Setiap pekerjaan mungkin tidaklah mudah untuk dilamar, karena sebagai kandidat baru / calon pegawai harus memenuhi beberapa kualifikasi dan persyaratan sesuai dengan kriteria yang dicari dari Perusahaan tersebut. Semoga info karir dari indosat sebagai posisi AVP-Data Integration Engineering dibawah ini sesuai dengan Kualifikasi anda.

AVP-Data Integration Engineering

Role Purpose

• Enterprise Data Integration Strategy: Drive end-to-end data pipeline architecture across batch, real-time streaming, API-based, and cloud-native integrations.
• Multi-Cloud & Hybrid Data Architecture: Design scalable, flexible, and fault-tolerant data integration strategies spanning on-prem, Hadoop, and GCP (BigQuery, Cloud Storage, Pub/Sub, Dataflow, Dataproc).
• Vendor & Stakeholder Management: Collaborate with Data Engineers, BI Developers, Cloud Engineers, and Vendor Partners to ensure SLA compliance and optimal data flow management

• Hadoop Ecosystem Mastery: Deep expertise in HDFS, Hive, Spark, Impala, HBase, Kafka, Oozie, and Sqoop.
• Optimized Data Processing: Implement distributed computing models for massive-scale ETL & analytics workloads.
• Data Lake & Datalakehouse Optimization: Architect data ingestion pipelines for structured, semi-structured, and unstructured data into Delta Lake, Iceberg, or BigQuery.

• Microservices & API Integration: Develop high-performance API-based ETL solutions using REST, gRPC, GraphQL, and WebSockets for real-time data exchange.
• HBase & NoSQL API Integration: Enable low-latency API access to HBase, Cassandra, and DynamoDB for high-throughput operational analytics.
• Data Federation & Virtualization: Implement Federated Queries and Data Virtualization for seamless cross-platform data access.

• Enterprise Streaming Pipelines: Design & optimize Kafka, Flink, Spark Streaming, and Pub/Sub for real-time data ingestion and transformation.
• Event-Driven ETL Pipelines: Enable Change Data Capture (CDC) and event-based data processing for real-time decision-making.
• Kafka Integration: Develop high-throughput, scalable Kafka pipelines with Kafka Connect, Schema Registry, and KSQL.
• HBase Streaming: Leverage HBase + Kafka for low-latency, high-volume event ingestion & querying.

• BigQuery Optimization: Leverage partitioning, clustering, and materialized views for cost-effective and high-speed queries.
• ETL & Orchestration: Develop robust ETL/ELT pipelines using Cloud Data Fusion, Apache Beam, Dataflow, and Airflow.
• Hybrid Cloud & On-Prem Integration: Seamlessly integrate Hadoop-based Big Data systems with GCP, on-premises databases, and legacy BI tools.

• BI DevOps & Continuous Delivery: Implement CI/CD pipelines to accelerate BI feature releases, ETL deployments, and dashboard updates.
• Data Observability & Quality Monitoring: Ensure end-to-end monitoring of data pipelines, anomaly detection, and real-time alerting.
• AI/ML Integration for BI: Apply predictive analytics and AI-driven insights to enhance business intelligence and reporting.
• Bottleneck Identification & Resolution: Proactively identify and eliminate performance issues in Hadoop clusters, ETL pipelines, and BI reporting layers.

• Minimum Requirements

Qualification:

Minimum University Degree (S1), Preferable Study area in Information Technology, Computer, Electrical, Telecommunication, or Mathematics/Statistics.

Experience:

At least has 5 year experience full cycle process in Data Integration, Microservices, and Data warehouse,. Preferable has an experience in telecommunication industry. If has experience to manage team is advantage

Skills:

• Very good analytical thinking and problem solving for effective identification of business problems, understanding of stakeholder's needs and assessment and formulation of the solution

• Very good communication:
  • Very good communication in Indonesian and English.
  • Very good skills in technical writing and reporting.
  • Very good presentation and persuasion skill capabilities.

• Very good collaboration skills with many stakeholders

• Very good knowledge in Datawrehousing, Bigdata and BI architecture, technology, design, development and operation.

• Good knowledge of telecommunication business in general.

• Have experience and knowledge to process CDR from Telco's system e.g. of Charging and Billing, GGSN, MSC, VLR, SMSC, etc.

• Have experience min. 5 years to handle Data Integration project team and developer team

• Have experience work with near real time data, huge data volume and unstructured data processing.

• Familiar and hands on mostly with below technology stack:

• Programming: Phyton, Java, scala, Go, Shell script, SQL (PL/pgSQL, T-SQL, BigQuery SQL), or other relevant scripting.
• Data Pipeline Orchestration: Apache Airflow, Cloud Composer, NiFi, etc.
• Big Data & Streaming: Kafka, Flink, Spark Streaming, HBase, Hive, Impala, Presto
• Cloud Data Engineering: GCP (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage).
• Monitoring & Observability: ELK Stack (Elasticsearch, Logstash, Kibana), Datadog, Prometheus, Grafana
• Microservices & API Integration: REST, gRPC, GraphQL, WebSockets, OpenTelemetry
• Data Governance & Quality: Great Expectations, dbt, Dataform, Monte Carlo
• BI DevOps & Automation: Terraform, Kubernetes, GitOps, Cloud Build

• Good knowledge in IT infrastructure in the areas of Server, Storage, Database, Backup System, Desktop, Local/Wide Area Network, Data Center and Disaster Recovery.

• Has a good knowledge in Agile Development (Scum), Business Process Framework (eTOM), Application Framework (TAM) and Information Framework (SID).

Info Pekerjaan:

• Perusahaan: indosat
• Posisi: AVP-Data Integration Engineering
• Lokasi Kerja: Indonesia
• Negara: ID

Cara Mengirimkan Lamaran:

Setelah membaca dan mengetahui kriteria serta kebutuhan minimum kualifikasi yang telah dijelaskan dari info pekerjaan AVP-Data Integration Engineering di kantor Indonesia di atas, segera lengkapi berkas lamaran kerja seperti surat lamaran kerja, CV, FC ijazah, transkrip, dan pelengkap lainnya seperti yang telah dijelaskan di atas. Kirim melalui link Halaman Selanjutnya di bawah ini.