About
Aligned Automation

At
Aligned Automation, we live by our "Better
Together" philosophy to build a better world. As a strategic service
provider to Fortune 500 companies, we help digitize enterprise operations and
drive impactful business strategies. Our purpose goes beyond projects—we strive
to deliver meaningful, sustainable change that shapes a more optimistic and
equitable future.

Our
culture is deeply rooted in our 4Cs—Care, Courage, Curiosity,
and Collaboration—ensuring that each employee is empowered to grow,
innovate, and thrive in an inclusive workplace.

Job Summary

We are seeking a skilled Data Engineer with strong
expertise in PySpark and Apache Airflow to design, build, and
optimize scalable data pipelines. The ideal candidate should have experience in
big data processing, workflow orchestration, and cloud-based data platforms.

Key Responsibilities
- Design,
develop, and maintain scalable ETL/ELT pipelines using PySpark
- Build
and manage workflow orchestration using Apache Airflow
- Process
large datasets using distributed computing frameworks (Spark)
- Optimize




data pipelines for performance, reliability, and scalability
- Implement
data quality checks and monitoring mechanisms
- Work
closely with Data Analysts, Data Scientists, and BI teams
- Manage
data ingestion from various sources (APIs, databases, flat files,
streaming)
- Troubleshoot
and resolve pipeline failures
- Implement
CI/CD for data pipelines
- Ensure
data governance and security best practices

Required Skills

Technical Skills:
- Strong
hands-on experience in PySpark
- Experience
in Apache Airflow (DAGs, Operators, Scheduling)
- Good
understanding of Spark architecture
- Robust
SQL knowledge
- Experience
with data warehousing concepts
- Experience
with:
- S3
/ ADLS / GCS
- Redshift
/ Snowflake / BigQuery
- Knowledge
of Git and version control
- Understanding
of REST APIs and data ingestion

Good to Have:
- Experience
with cloud platforms (AWS / Azure / GCP)
- Experience
with Ka

📌 Data Engineer (Pune)
🏢 Aligned Automation Services
📍 Pune