Senior Data Engineer

Xtelify Ltd || Senior Data Engineer

Xtelify Ltd is looking for a Data Engineer to join the Data Platform team who can help develop and deploy

data pipelines at a huge scale of ~5B daily events and concurrency of 500K users. The platform is built on a

cloud-native modern data stack (AWS/GCP), enabling real-time reporting and deep data exploration from first

principles.

Experience: 5-8 Years

Job Location: Gurgaon

Responsibilities:

• Create and maintain a robust, scalable, and optimized data pipeline.

• Handle TBs of data daily across Xtelify's music and video streaming platforms.

• Extract and consume data from live systems to analyze and operate in a 99.999% SLA Big Data

environment.

• Build and execute data mining and modeling activities using agile development techniques.

• Solve problems creatively and communicate effectively across teams.

• Build infrastructure for optimal data extraction, transformation, and loading from diverse sources.

• Drive internal process improvements: automation, data delivery optimization, infrastructure redesign,

etc.

• Manage both structured and unstructured datasets using SQL and NoSQL databases.

• Understand and leverage cloud computation models to enhance delivery and deployment of solutions.

• Drive innovation in areas like analytics pipelines, streaming systems, and machine learning data

applications.

Desired Profile:

• B.E / B.Tech / M.E / M.Tech / M.S in Computer Science or Software Engineering from a premier

institute.

• 4+ years of hands-on experience with Spark and Scala.

• Strong grasp of data structures and algorithms.

• Proficient with Hadoop, Pig, Hive, Storm, and SQL.

• Programming experience in at least one language: Java, Scala, or Python.

• Solid experience in big data infrastructure, distributed systems, dimensional modeling, query

processing & optimization, and relational databases.

• Own end-to-end delivery of data modules/features.

Good to Have:

• Exposure to NoSQL solutions like Cassandra, MongoDB, CouchDB, Postgres, Redis,

Elasticsearch.

• Experience with Kafka and Spark Streaming/flink.

• Familiarity with OLAP engines like Apache Druid or Apache Pinot.

• Enthusiasm to explore and learn modern data architectures and streaming systems.