Job Description

About the Role:

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We are looking for a highly skilled Data Engineer with solid experience in building scalable ETL/ELT pipelines, distributed data systems, and modern lakehouse architectures. The ideal candidate will work on large-scale telecom and CPaaS datasets, including Call Detail Records (CDR), enabling real-time analytics and business intelligence across the platform ecosystem.

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What you'll be Responsible for?

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- Design and implement scalable ETL/ELT pipelines for large-scale analytics, data processing, and migration workloads.
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- Build modern data lakehouse platforms using Iceberg, Delta Lake, or Hudi with catalog services like Nessie, AWS Glue, or Hive Metastore.
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- Develop and optimize high-performance SQL queries and distributed data processing jobs using Spark (PySpark), Hadoop, and Kafka.
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- Design and manage data warehouses and analytical platforms using Snowflake, ClickHouse, Dremio, Redshift, Trino, or Presto.
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- Build ingestion and transformation pipelines using object storage systems such as Amazon S3, Azure Data Lake, GCS, or Nutanix Object Storage.
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- Process and transform telecom datasets and Call Detail Records (CDR) efficiently at scale.
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- Implement orchestration workflows using Airflow, Kestra, or similar workflow engines.
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- Ensure data quality, governance, lineage, observability, scalability, and cost optimization across distributed systems.
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- Build reusable frameworks for bulk data movement, ingestion acceleration, and transformation at scale.
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What you'd have?

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- 7 –10 years of experience in Data Engineering or related roles.
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- Strong expertise in Advanced SQL including query optimization, partitioning, indexing, and performance tuning.
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- Hands-on experience with Apache Spark (PySpark), Hadoop, Kafka, and distributed data processing systems.
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- Strong expertise in lakehouse technologies such as Iceberg, Delta Lake, or Hudi.
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- Experience with metadata/catalog systems including Nessie, Glue, or Hive Metastore.
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- Knowledge of analytical engines such as ClickHouse, Dremio, Trino, or Presto.
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- Strong understanding of Parquet, ORC, and Avro data formats.
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- Experience with object storage systems like S3, ADLS, GCS, or Nutanix Object Storage.
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- Strong programming skills in Python / PySpark / Scala.
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- Experience with Airflow, Kestra, or similar orchestration tools.
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- Hands-on exposure to AWS, Azure, or GCP cloud platforms.
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- Experience in telecom data systems or CDR processing is highly preferred.
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Why join us?

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- Impactful Work: Build large-scale data platforms and analytics systems that power real-time communication products used by millions globally.
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- Tremendous Growth Opportunities: Accelerate your career by solving complex engineering challenges in a fast-growing CPaaS and product-driven environment.
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- Innovative Environment: Work alongside world-class engineers building cutting-edge distributed data systems, lakehouse architectures, and cloud-native platforms.
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Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees.

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www.Karix.com

📌 Senior Data Engineer (Hyderabad)
🏢 Tanla Platforms
📍 Hyderabad