Website:
ddtsoftwareandecommerce.com
Job details:
Company Description
mance IT services to clients across various industries, enabling them to optimize operations and enhance digital presence. With a strong focus on data-driven decision-making, DDT Software & E-Comm Pvt Ltd leverages modern data engineering practices to design, build, and maintain robust data pipelines and architectures. The organization works with structured and unstructured data, ensuring efficient data ingestion, transformation, and storage to support analytics, business intelligence, and machine learning initiatives.
The company emphasizes the use of cutting-edge technologies such as cloud platforms (AWS, Azure, GCP), big data tools (Hadoop, Spark), and database systems (SQL/NoSQL) to deliver reliable and scalable data solutions. Data Engineers at DDT Software & E-Comm Pvt Ltd collaborate closely with data analysts, data scientists, and business stakeholders to ensure high data quality, integrity, and accessibility.
Driven by innovation and client-centricity, DDT Software & E-Comm Pvt Ltd continues to empower businesses with intelligent data solutions and next-generation digital services.
Key Responsibilities- Design, build, and optimize ETL/ELT pipelines for data ingestion and processing
- Develop and maintain scalable data architectures and data lakes/warehouses
- Work with structured and unstructured data from multiple sources
- Ensure data quality, integrity, and security across systems
- Collaborate with data analysts, data scientists, and business teams
- Optimize database performance and query efficiency
- Implement monitoring and troubleshooting for data pipelines
Required Skills- Strong proficiency in Python / SQL
- Experience with ETL tools and data pipeline frameworks
- Knowledge of Big Data technologies (e.g., Hadoop, Spark)
- Hands-on experience with cloud platforms (AWS / Azure / GCP)
- Familiarity with data warehousing concepts (Redshift, BigQuery, Snowflake, etc.)
- Understanding of APIs, data formats (JSON, XML, CSV)
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