Senior Software Engineer - Data

Responsibilities:
Setting up formal data practices for the company.
Building and running super stable and scalable data architectures.
Making it easy for folks to add and use new data with self-service pipelines.
Getting DataOps practices in place.
Designing, developing, and running data pipelines to help out Products, Analytics, data scientists, and machine learning engineers.
Creating simple, reliable data storage, ingestion, and transformation solutions that are a breeze to deploy and manage.
Writing and managing the reporting API for different products.
Implementing different methodologies for different reporting needs.
Teaming up with all sorts of people - business folks, other software engineers, machine learning engineers, and analysts.
Requirements:
Bachelor's degree in engineering (CS / IT) or equivalent degree from a well-known Institute / University.
3.5+ years of experience in building and running data pipelines for tons of data.
Experience with public clouds like GCP or AWS.
Experience with Apache open-source projects like Spark, Druid, Airflow, and big data databases like BigQuery, Clickhouse.
Experience in making data architectures that are optimised for both performance and cost.
Good grasp of software engineering, DataOps, data architecture, Agile, and DevOps.
Proficient in SQL, Java, Spring Boot, Python, and Bash.
Good communication skills for working with technical and non-technical people.
Someone who thinks big, takes chances, innovates, dives deep, gets things done, hires and develops the best, and is always learning and curious.

Experience
3-7 yrs