Data Engineer

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using Databricks, Google BigQuery, SQL, and cloud-native tools.
• Build and optimize batch and streaming data pipelines to support analytics, reporting, and business intelligence use cases.
• Collaborate with business stakeholders, product teams, analytics engineers, and data analysts to gather requirements and deliver data solutions.
• Develop and manage data models, schemas, and transformations ensuring data quality, integrity, and consistency.
• Optimize SQL queries, partitioning, clustering, and indexing for performance and cost efficiency.
• Support BI tools and dashboards by providing clean, reliable, and analytics-ready datasets.
• Implement and monitor data quality checks, validation rules, and error handling across pipelines.
• Troubleshoot and resolve data pipeline failures, performance issues, and data inconsistencies across environments (dev, test, prod).
• Ensure compliance with data governance, data security, access controls, and privacy standards.
• Work directly with clients and external stakeholders to gather requirements, present deliverables, and manage expectations.

Requirements and skills

• 3-6 years of experience as a Data Engineer, Analytics Engineer, or ETL Developer.
• Advanced proficiency in SQL (complex queries, window functions, optimization, performance tuning).
• Strong hands-on experience with Google BigQuery (partitioning, clustering, cost optimization).
• Experience building data pipelines using Databricks (Apache Spark, Delta Lake).
• Solid understanding of ETL/ELT architecture, data warehousing, dimensional modeling, and star/snowflake schemas.
• Experience with Python and/or Scala for data processing and automation.
• Familiarity with cloud platforms such as Google Cloud Platform (GCP), Azure, or AWS.
• Experience with pipeline orchestration tools (Airflow, Databricks Workflows, or similar) preferred.
• Knowledge of data governance, security, IAM, and compliance frameworks is a plus.
• Strong client-facing, communication, and problem-solving skills.
• Ability to work independently in a hybrid or remote work environment.

What you can expect from us

We appreciate that individual growth is important as well and we support you on every aspect of personal development.

• Hands-on AWS, Azure, and GCP.
• Support you on any certification.
• Build leadership skills.
• Medical Insurance coverage for self and family.
• Provident Fund.