Robosoft Technologies

1 month ago


Bangalore, India Robosoft Technologies Full time

Roles and Responsibilities :

- Develop and automate large scale, high-performance data processing systems (batch and/or streaming) to drive Ola group business growth and improve the product experience.

- Evangelize high quality software engineering practices towards building data infrastructure and pipelines at scale.

- Lead data engineering projects to ensure pipelines are reliable, efficient, testable, & maintainable

- Design our data models for optimal storage and retrieval and to meet critical product and business requirements.

- Understand and influence logging to support our data flow, architecting logging best practices where needed

- Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company

- Partner with leadership, engineers, program managers and data scientists to understand data needs.

- Educate your partners: Use your data and analytics experience to 'see what's missing', identifying and addressing gaps in their existing logging and processes.

- Work with stakeholders to build data lineage, data governance and data cataloging.

- Leading projects using agile methodologies.

- Communicate effectively with people of all levels in the organization.

- Recruit, retain and develop people skills to take bigger responsibilities and challenges.

Experience & Skills :

- 10+ years of relevant industry experience.

- 6+ years of experience in managing a 10 plus members team.

- 7+ years experience in custom ETL design, implementation and maintenance.

- 5+ years of experience with workflow management engines like Airflow, Dagster etc.

- Working knowledge of relational databases and query authoring (SQL).

- Experience with Java / Scala / Spark is preferred

- Working experience with data at the petabyte scale.

- Experience designing, building and operating robust distributed systems.

- Experience designing and deploying high performance systems with reliable monitoring and logging practices.

- Effectively work across team boundaries to establish overarching data architecture, and provide guidance to individual teams.

- Expertise of Amazon Web Services (AWS) and/or other relevant Cloud Infrastructure solutions like Microsoft Azure or Google Cloud.

- Experience in managing and deploying containerized environments using Docker, Mesos/Kubernetes is a plus.

- Experience in managing projects using scrum methodology.

- TechStack :


CloudEra Stack, Oozie, Hive, spark, Flink, Spark, K8s, EMR, Presto, Pinot, Trino, IceBerg, FileFormat: parquet, Avro ORC format, DeltaLake, Parquet, Airflow, Druid, Nifi, Hive/HiveQL, Clickhouse, Debezium (CDC) / DBT, Lakehouse, Spark Structured/Streaming, Flink, Apache Beam, Kafka, Hadoop/HbAse/HDFS, Hudi, File Formats (ORC, Parquet, Iceberg), Query engines (Presto, Hue, Trino), Trino or Presto, Stream Processing: Hudi vs iceberg vs delta-lake, Druid vs apache pinot vs trino, Apache Nifi, Apache Flume,Fabric and Secor, Maxwell, K8S, LakeHouse,

Educational Qualifications :


- Bachelor's or Master's degree in Engineering or related technical discipline (from premier institutes preferred)

(ref:hirist.tech)
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