How do I apply for Data Engineer at Bacancy?

You can view the full description and apply for Data Engineer at Bacancy on EchoJobs: https://echojobs.io/job/bacancy-data-engineer-al1gd.

Bacancy is hiring a Data Engineer — a full-time, based in Ahmedabad, India role. Apply directly on Bacancy's careers page below.

Data Engineer

Location: Ahmedabad, India

Department: AI/ML

Experience: 3+

Job Description

We are looking for a skilled Data Engineer with 3+ years of experience to design, build, and maintain scalable data pipelines and data platforms. The ideal candidate will work closely with data scientists, analysts, and business stakeholders to ensure high-quality, reliable, and performant data solutions.

Key Responsibilities

Design, develop, and maintain end-to-end ETL/ELT data pipelines
Build and optimize data ingestion frameworks from multiple sources (APIs, databases, files, streaming
Work with data warehouses and lakehouse architectures (Snowflake, Redshift, BigQuery, Databricks, etc.)
Develop and maintain batch and near-real-time pipelines
Ensure data quality, validation, monitoring, and observability
Optimize SQL queries and data models for performance and scalability
Collaborate with analytics, BI, and ML teams to support reporting and advanced analytics
Implement data governance, security, and access controls
Automate workflows using orchestration tools (Airflow, Luigi, etc.)
Troubleshoot and resolve data pipeline and production issues

Required Skills & Qualifications

Must-Have

3+ years of hands-on experience as a Data Engineer
Strong proficiency in Python and SQL
Experience with ETL/ELT pipeline development
Hands-on experience with data warehouses (Snowflake preferred)
Experience with Apache Airflow or similar orchestration tools
Strong understanding of data modeling (star/snowflake schemas)
Experience working with large-scale datasets
Familiarity with Git-based version control
Experience working in agile environments

Good to Have

Experience with Apache Spark / PySpark
Exposure to Kafka or streaming platforms
Knowledge of cloud platforms (AWS / Azure / GCP)
Experience with Docker & Kubernetes
Familiarity with data quality frameworks (Great Expectations, Soda, etc.)
BI tools experience (Power BI, Looker, Tableau)
Infrastructure-as-Code tools (Terraform, CloudFormation)
CI/CD pipelines for data workflows

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