Senior Engineer, EDT Data & Analytics - Data Engineering

Overview

Design, build and maintain scalable data pipelines and integration solutions that power analytics, reporting and business decision-making, working closely with Data Architects, Analysts and Platform teams.

What you'll do

• Design and optimize scalable ETL/ELT pipelines, data models and data marts to enable reliable analytics and reporting.
• Develop automated data workflows using orchestration tools, building efficient SQL and Python/Scala-based transformation processes.
• Ensure data quality, governance, security and compliance through robust validation, monitoring and error-handling frameworks.
• Support cloud data platforms and collaborate with stakeholders to deliver high-performance, business-driven data solutions.
• Troubleshoot complex technical issues and deliver reliable, scalable data solutions.

What you'll need

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.
• 3-5 years of experience in data engineering, ETL development, or database development.
• Strong proficiency in SQL.
• Hands-on experience with at least one programming language (Python, Scala, or Java).
• Strong expertise in batch/streaming processing and distributed data frameworks.
• Working knowledge of relational databases and data warehousing/lakehouse concepts.
• Ability to analyze complex data requirements and translate them into scalable technical solutions.
• Experience with cloud data platforms such as Snowflake, Databricks, AWS Redshift, or Azure Synapse, along with hands-on experience building and maintaining data pipelines on-premises or in a cloud environment.
• Experience with workflow orchestration tools such as Apache Airflow, Azure Data Factory, or dbt.
• Experience with streaming technologies such as Kafka, Kinesis, or Event Hubs.
• Familiarity with CI/CD practices and version control (Git) for data engineering workflows.
• Understanding of data modeling techniques (dimensional modeling, star schema, data vault).
• Knowledge of Data Lake, Lakehouse and Unity Catalog concepts.
• Use of tools' AI features to bring efficiency to coding and bug fixing.

Nice to have

• Cloud platform certification (AWS, Azure, or GCP Data Engineer track).
• Snowflake, Databricks, or equivalent data platform certification.

Details

• Work flexibility: Hybrid.
• Location: Gurugram, India.
• Travel: None.