SAP Data Engineer

Overview

Title: Cloud Data Engineer (Spark/Databricks)

Location: India ( REMOTE Role)

Status: Fulltime / Perm Role.

Professional experience:

• 7+ years of experience as a Data Engineer or in a similar role.
• Proven experience with cloud platforms: AWS, Azure, and GCP.
• Hands-on experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.
• Experience with other ETL tools like Informatica, SAP Data Intelligence, etc.
• Experience in building and managing data lakes and data warehouses.
• Proficiency with data platforms like Redshift, Snowflake, BigQuery, Databricks, and Azure Synapse.
• Experience with data extraction from SAP or ERP systems is a plus.
• Strong experience with Spark and Scala for data processing.

Skills:

• Strong programming skills in Python, Java, or Scala.
• Proficient in SQL and query optimization techniques.
• Familiarity with data modeling, ETL/ELT processes, and data warehousing concepts.
• Knowledge of data governance, security, and compliance best practices.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with other data tools and technologies such as Apache Spark, or Hadoop.
• Certifications in cloud platforms (AWS Certified Data Analytics – Specialty, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate).
• Experience with CI/CD pipelines and DevOps practices for data engineering

Job Types: Full-time, Permanent

Pay: ₹500,700.77 - ₹1,241,165.40 per year

Benefits:

• Health insurance
• Internet reimbursement
• Work from home

Schedule:

• Day shift

Work Location: Remote