Senior Data Engineer

1 week ago

Thiruvananthapuram, Kerala, India Quantiphi Full time ₹ 1,50,000 - ₹ 28,00,000 per year

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi

Role: Senior Data Engineer (Databricks)
Experience Level: 3 to 6 Years
Work location: Trivandrum
Role & Responsibilities

  • Design and implement data solutions (ETL pipelines, Processing and Transformation logic) using Snowflake as a key platform.
  • Design Virtual warehouses which are optimized for performance and cost (auto scaling, idle time etc)
  • Write SQL , stored procedures to implement business logic, other critical requirements like encryption, data masking etc
  • Implement solutions with features like Snowpipe, tasks, streams,dynamic tables etc
  • Design the solutions by leveraging key concepts around the architecture of Snowflake, its data distribution and partitioning mechanism, data caching etc.
  • Identify queries which take more time , look at the logs etc and provide solutions to optimize those queries

Must Have Skills

  • 3+ years' experience of Hands-on in data structures, distributed systems, Spark, SQL, PySpark, NoSQL Databases
  • Strong software development skills in at least one of: Python, Pyspark or Scala.
  • Develop and maintain scalable & modular data pipelines using databricks & Apache Spark
  • Experience building and supporting large-scale systems in a production environment
  • Experience working on either of the cloud storages - AWS S3, Azure data lake, GCS buckets
  • Exposure to the ELT tools offered by the cloud platforms like, ADF, AWS Glue, Google dataflow
  • Integrate Databricks with other cloud services like AWS, Azure or Google Cloud
  • Implement and optimize Spark jobs, data transformations, and data processing workflows in Databricks
  • Managing and configuring databricks environments, including clusters and notebooks
  • Experience working with different file formats - parquet, databricks delta lake
  • Experience working with data governance on databricks, implementing unity catalog, delta share

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us

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