Responsibilities

● Contribute to the design and growth of our Data Products and Data Warehouses around Engagement and Retention Analytics and Data Science

● Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid)

● Our tech stack includes Hadoop, AWS, Snowflake, Spark and Airflow and languages include Python, Scala

● Help architect data solutions/frameworks and define data models for the underlying data warehouse and data marts

● Collaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions

● Maintain detailed documentation of your work and changes to support data quality and data governance

● Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams)

● Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team

Basic Qualifications

● 6+ years of data engineering experience developing large data pipelines

● String Python programming skills

● Strong SQL skills and ability to create queries to extract data and build performant datasets

● Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data

Preferred Qualifications

● Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query)

● Nice to have experience with Cloud technologies like AWS (S3, EMR, EC2)

● Solid experience with data integration toolsets (i.e Airflow) and writing and maintaining Data Pipelines

● Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices

● Good Scripting skills, including Bash scripting and Python

● Familiar with Scrum and Agile methodologies

● You are a problem solver with strong attention to detail and excellent analytical and communication skills

Job Type: Full-time

Salary: $65.00 - $75.00 per hour

Experience level:

• 6 years

Schedule:

• Monday to Friday

Experience:

• SQL (Preferred)
• Informatica (Preferred)
• Data warehouse (Preferred)

Work Location: On the road

Speak with the employer
+91 9256270467

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