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DevOps & Cloud Native

Engineering

Senior Software Engineer - Data Engineering
Pune or Remote (India only)
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Velotio Technologies is a product engineering company working with innovative startups and enterprises. We have provided full-stack product development for 110+ startups across the globe, building products in the cloud-native, data engineering, B2B SaaS, IoT & Machine Learning space. Our team of 210+ elite software engineers solves hard technical problems while transforming customer ideas into successful products.

Roles & Responsibilities:

  • Design and build scalable data infrastructure with efficiency, reliability, and consistency to meet rapidly growing data needs
  • Build the applications required for optimal extraction, cleaning, transformation, and loading data from disparate data sources and formats using the latest big data technologies
  • Building ETL/ELT pipelines and work with other data infrastructure components, like Data Lakes, Data Warehouses and BI/reporting/analytics tools
  • Work with various cloud services like AWS, GCP, Azure to implement highly available, horizontally scalable data processing and storage systems and automate manual processes and workflows
  • Implement processes and systems to monitor data quality, to ensure data is always accurate, reliable, and available for the stakeholders and other business processes that depend on it
  • Work closely with different business units and engineering teams to develop a long-term data platform architecture strategy and thus foster data-driven decision-making practices across the organization
  • Help establish and maintain a high level of operational excellence in data engineering
  • Evaluate, integrate, and build tools to accelerate Data Engineering, Data Science, Business Intelligence, Reporting, and Analytics as needed
  • Focus on building test-driven development by writing unit/integration tests
  • Contribute to design documents and engineering wiki

You will enjoy this role if you...

  • Like building elegant well-architected software products with enterprise customers
  • Want to learn to leverage public cloud services & cutting-edge big data technologies, like Spark, Airflow, Hadoop, Snowflake, and Redshift
  • Work collaboratively as part of a close-knit team of geeks, architects, and leads


Desired Skills & Experience:

  • 2+ years of data engineering or equivalent knowledge and ability
  • 4+ years software engineering or equivalent knowledge and ability
  • Strong proficiency in at least one of the following programming languages: Python, Scala, or Java
  • Experience designing and maintaining at least one type of database (Object Store, Columnar, In-memory, Relational, Tabular, Key-Value Store, Triple-store, Tuple-store, Graph, and other related database types)
  • Good understanding of star/snowflake schema designs
  • Extensive experience working with big data technologies like Spark, Hadoop, Hive
  • Experience building ETL/ELT pipelines and working on other data infrastructure components like BI/reporting/analytics tools
  • Experience working with workflow orchestration tools like Apache Airflow, Oozie, Azkaban, NiFi, Airbyte, etc.
  • Experience building production-grade data backup/restore strategies and disaster recovery solutions
  • Hands-on experience with implementing batch and stream data processing applications using technologies like AWS DMS, Apache Flink, Apache Spark, AWS Kinesis, Kafka, etc.
  • Knowledge of best practices in developing and deploying applications that are highly available and scalable
  • Experience with or knowledge of Agile Software Development methodologies
  • Excellent problem-solving and troubleshooting skills
  • Process-oriented with excellent documentation skills

Bonus points if you:

  • Have hands-on experience using one or multiple cloud service providers like AWS, GCP, Azure and have worked with specific products like EMR, Glue, DataProc, DataBricks, DataStudio, etc
  • Have hands-on experience working with either Redshift, Snowflake, BigQuery, Azure Synapse, or Athena and understand the inner workings of these cloud storage systems
  • Have experience building DataLakes, scalable data warehouses, and DataMarts
  • Have familiarity with tools like Jupyter Notebooks, Pandas, NumPy, SciPy, sci-kit learn, Seaborn, SparkML, etc.
  • Have experience building and deploying Machine Learning models to production at scale
  • Possess excellent cross-functional collaboration and communication skills

Our Culture:

  • We have an autonomous and empowered work culture encouraging individuals to take ownership and grow quickly
  • Flat hierarchy with fast decision making and a startup-oriented “get things done” culture
  • A strong, fun & positive environment with regular celebrations of our success. We pride ourselves in creating an inclusive, diverse & authentic environment

Note: Currently, all interview and onboarding processes at Velotio will be carried out remotely through virtual meetings until further notice.

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