Data Engineer/Senior Data Engineer

Binarystar Searchx; Pune District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Binarystar Searchx is seeking a data engineer to design, build, and optimize scalable data pipelines in a data-driven environment.

The role requires hands-on work with SQL, Python, and distributed data systems, plus experience with cloud data platforms and big data tools. You will contribute to ETL processes, data models, and data warehousing initiatives, enabling robust data delivery and analytics.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• - 3–5+ years of experience in data engineering, data science, or related domains.
• Hands-on experience with SQL, Python, and distributed data systems.
• Knowledge of machine learning techniques and statistical analysis.
• Experience with cloud data platforms (Azure Data Factory, AWS Glue, Hadoop, Spark, Kafka).

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Develop ETL processes, data models, and data warehousing solutions.
• Optimize data delivery and automate manual processes.
• Work with SQL, relational databases, and big data tools (Hadoop, Spark, Kafka).

Skills

SQL

Python

Machine learning

Statistical analysis

Distributed data systems

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Azure Data Factory

AWS Glue

Hadoop

Spark

Kafka

Job description

Responsibilities:

• Design, build, and maintain scalable data pipelines.
• Develop ETL processes, data models, and data warehousing solutions.
• Optimize data delivery and automate manual processes.
• Work with SQL, relational databases, and big data tools (Hadoop, Spark, Kafka).

Technical Expertise:

• Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related
• field.
• - 3–5+ years of experience in data engineering, data science, or related domains.
• - Hands-on experience with SQL, Python, and distributed data systems.
• - Knowledge of machine learning techniques and statistical analysis.
• - Experience with cloud data platforms (Azure Data Factory, AWS Glue,