We are seeking an experienced Sr Data Engineer to join our team at Binary Infoways. As a Sr Data Engineer, you will be responsible for designing, developing, and maintaining large-scale data systems, including data warehouses, data lakes, and data pipelines. You will work closely with our data scientists, data analysts, and other stakeholders to identify business requirements and develop data solutions to meet those needs. With a strong foundation in computer science and software engineering, you will be able to design and implement efficient, scalable, and reliable data systems. You will also be responsible for ensuring the quality and integrity of our data, as well as developing and implementing data governance policies. If you have a passion for working with large datasets, developing data architectures, and collaborating with cross-functional teams, we encourage you to apply for this exciting opportunity.

Requirement:

The requirements for this role are:

• Minimum 6 years of experience and maximum 30 years of experience in data engineering or a related field
• Experience with big data technologies such as Hadoop, Spark, and NoSQL databases
• Strong programming skills in languages such as Java, Python, or Scala
• Experience with data warehousing and ETL tools such as Informatica, Talend, or AWS Glue
• Strong understanding of data architecture and data modeling principles
• Job Type: Payroll
• Budget: ₹2,000,000 INR per annum

Manadatory Skills:

• Airflow,

• python,

• AWS and

• Big Data technologies like Spark

Role and responsibility:

The roles and responsibilities of this position are:

• Design, develop, and maintain large-scale data systems, including data warehouses, data lakes, and data pipelines
• Collaborate with data scientists, data analysts, and other stakeholders to identify business requirements and develop data solutions
• Ensure the quality and integrity of our data, as well as develop and implement data governance policies
• Develop and maintain technical documentation for data systems and data pipelines
• Provide technical leadership and guidance to junior data engineers and other team members