Associate - Data Engineer-Data Engineering-Big Data Engineering
Pune, Maharashtra, India
0+ years exp
Full-time
Posted 4d ago
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Job Description
Required Skills & Experience
- 5–7 years of experience in data engineering, with at least 2–3 years of Databricks hands-on experience.
- Strong expertise in Apache Spark (PySpark/Scala/SQL) and distributed data processing.
- Solid experience with Delta Lake, Lakehouse architecture, and data modeling.
- Hands-on experience with at least cloud platform: Azure Data Lake, AWS S3, or GCP BigQuery/Storage.
- Strong proficiency in SQL for data manipulation and performance tuning.
- Experience with ETL frameworks, workflow orchestration tools (Airflow, ADF, DBX Workflows).
- Good understanding of CI/CD, Git-based workflows, and DevOps practices.
- Exposure to MLOps and MLflow is a strong plus.
- Knowledge of data governance, cataloging, and security frameworks.
Required Skills & Experience
- 5–7 years of experience in data engineering, with at least 2–3 years of Databricks hands-on experience.
- Strong expertise in Apache Spark (PySpark/Scala/SQL) and distributed data processing.
- Solid experience with Delta Lake, Lakehouse architecture, and data modeling.
- Hands-on experience with at least cloud platform: Azure Data Lake, AWS S3, or GCP BigQuery/Storage.
- Strong proficiency in SQL for data manipulation and performance tuning.
- Experience with ETL frameworks, workflow orchestration tools (Airflow, ADF, DBX Workflows).
- Good understanding of CI/CD, Git-based workflows, and DevOps practices.
- Exposure to MLOps and MLflow is a strong plus.
Bachelor's/Master's in Engineering 0-2 years
Key Requirements & Skills
- 5–7 years of experience in data engineering, with at least 2–3 years of Databricks hands-on experience.
- Strong expertise in Apache Spark (PySpark/Scala/SQL) and distributed data processing.
- Solid experience with Delta Lake, Lakehouse architecture, and data modeling.
- Hands-on experience with at least cloud platform: Azure Data Lake, AWS S3, or GCP BigQuery/Storage.
- Strong proficiency in SQL for data manipulation and performance tuning.
- Experience with ETL frameworks, workflow orchestration tools (Airflow, ADF, DBX Workflows).
- Good understanding of CI/CD, Git-based workflows, and DevOps practices.
- Exposure to MLOps and MLflow is a strong plus.
- Knowledge of data governance, cataloging, and security frameworks.
- 5–7 years of experience in data engineering, with at least 2–3 years of Databricks hands-on experience.
- Strong expertise in Apache Spark (PySpark/Scala/SQL) and distributed data processing.
- Solid experience with Delta Lake, Lakehouse architecture, and data modeling.
- Hands-on experience with at least cloud platform: Azure Data Lake, AWS S3, or GCP BigQuery/Storage.
- Strong proficiency in SQL for data manipulation and performance tuning.
- Experience with ETL frameworks, workflow orchestration tools (Airflow, ADF, DBX Workflows).
- Good understanding of CI/CD, Git-based workflows, and DevOps practices.
- Exposure to MLOps and MLflow is a strong plus.
Frequently Asked Questions
How to apply for Associate - Data Engineer-Data Engineering-Big Data Engineering at EXL?
Click the "Apply via CareerScan" button on this page.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
0+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
Associate - Data Engineer-Data Engineering-Big Data Engineering
EXL · Pune
