Senior Data Engineer
- Fiftyfive Technologies
- 4 - 6 years
- Indore
- 1 month ago
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Job Description
We are looking for a Mid-Senior Data Engineer to join our growing data team and help build scalable, reliable, and efficient data pipelines and platforms. The ideal candidate has hands-on experience in managing large-scale data systems, cloud platforms, and workflow orchestration tools. You will play a critical role in enabling analytics, machine learning, and real-time decision-making across the organization.
Key Responsibilities:
- Design, build, and optimize robust ETL/ELT pipelines using Python and SQL.
- Develop and manage big data processing jobs using Apache Spark (PySpark) on platforms like Databricks .
- Build and maintain orchestrated workflows using Apache Airflow , Dagster , or Prefect .
- Develop and scale cloud-based data platforms using:
- AWS (Redshift, Glue, S3, Lambda)
- Azure (Data Factory, Synapse, Blob Storage)
- GCP (BigQuery, Dataflow, Composer)
- Leverage Databricks for scalable data processing, Delta Lake integration, and collaborative analytics.
- Work closely with data analysts, scientists, and product teams to understand data needs and translate them into scalable solutions.
- Ensure data quality, integrity, and security across all data systems.
- Contribute to CI/CD practices for data pipeline deployment and version control.
Required Skills Experience:
- 4-6 years of professional experience in data engineering or a related field.
- Strong expertise in advanced SQL (joins, window functions, CTEs, query optimization).
- Proficient in Python , with hands-on experience using Pandas , PySpark , and SQLAlchemy .
- Solid understanding of Apache Spark architecture and performance tuning.
- Experience working on Databricks and using Delta Lake for high-performance data storage and retrieval.
- Hands-on experience with at least one cloud platform (AWS, Azure, or GCP).
- Experience in data modeling , warehouse architecture , and dimensional modeling .
- Comfortable with Git and DevOps practices for data projects.
Soft Skills:
- Excellent problem-solving and debugging skills.
- Strong written and verbal communication.
- Ability to thrive in a cross-functional and agile environment.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Fiftyfive TechnologiesLocation(s): Indore
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Keyskills: Performance tuning Data modeling Debugging Machine learning Agile Data quality Analytics SQL Python
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