Data Engineer - Databricks

Overview

REQUIRED

• 5+ years’ experience engineering and operationalizing data pipelines with large and complex datasets.
• 5+ years’ experience with Data Modeling, ETL, and Data Warehousing.
• 3+ years’ hands-on experience with ETL/Data Replication tools.
• 2+ years’ hands-on experience with SAP tools like SLT, SAP Data services(BODS)
• 3+ years’ experience working with Cloud technologies such as ADLS, Azure Databricks, Spark, Azure Synapse, AWS Redshift, Big Query , Snowflake and other cloud data platforms.
• Extensive experience working with various data sources (DB2, SQL Oracle, flat files (csv, delimited), APIs, XML, JSON.
• Advanced SQL skills. Solid understanding of relational databases and business data; ability to write complex SQL queries against a variety of data sources.
• Strong understanding of database storage concepts (data lake, relational databases, NoSQL, data warehousing).
• Able to work in a fast-paced agile development environment.

RECOMMENDED

• BA/BS in Computer Science, Engineering, or equivalent software/services experience.
• Azure / AWS/GCP Certifications.
• Experience implementing data integration techniques such as event/message based integration (Kafka, Azure Event Hub), ETL.
• Experience with Git / Azure DevOps.
• Experience delivering data solutions through agile software development methodologies.
• Exposure to the retail industry.
• Excellent verbal and written communication skills.

Job Types: Full-time, Permanent

Pay: ₹656,979.55 - ₹2,074,661.82 per year

Benefits:

• Health insurance
• Internet reimbursement
• Work from home

Schedule:

• Day shift

Supplemental Pay:

• Yearly bonus

Application Question(s):

• What is your salary expectation ?

Experience:

• ETL: 1 year (Preferred)
• Data Replication: 1 year (Preferred)
• SAP: 1 year (Preferred)
• BODS: 1 year (Preferred)
• Azure: 1 year (Preferred)
• AWS: 1 year (Preferred)
• GCP: 1 year (Preferred)

Work Location: Remote