
Senior Data Engineer
3 weeks ago
Job Title : Senior Data Engineer
Company : Think Right Technologies
Employment Type : Full-Time
Location : Bangalore
Work Mode : Hybrid
Role Overview :
As a Senior Data Engineer at Think Right Technologies, you will be responsible for designing, building, and deploying scalable data-driven solutions. You will work with both SQL and NoSQL technologies, manage data repositories, and collaborate with product development teams to deliver high-quality data systems that meet strategic business needs.
Key Responsibilities :
1. Data Pipeline Development :
- Design, develop, and maintain data pipelines for efficient ingestion, transformation, and storage.
- Implement and optimize ETL (Extract, Transform, Load) workflows.
2. Database Management :
- Manage and optimize relational and NoSQL databases.
- Design database schemas, implement indexing, and perform performance tuning.
3. Data Quality & Integrity :
- Monitor and validate data accuracy, consistency, and reliability across systems.
- Identify and resolve data quality issues using data cleansing techniques.
4. Data Integration :
- Integrate data from diverse sources including internal systems, external APIs, and third-party providers.
- Support data migration and synchronization initiatives.
5. Collaboration & Communication :
- Work closely with data analysts, data scientists, and cross-functional stakeholders to gather requirements and deliver solutions.
- Actively participate in team meetings, providing progress updates and insights.
6. Documentation & Reporting :
- Maintain clear documentation of processes, workflows, and data systems.
- Prepare reports and presentations to communicate insights and project status to management.
Qualifications & Experience :
- Bachelors degree in Computer Science, Information Technology, Data Science, or a related field.
- 57 years of experience in data engineering, database management, or related roles.
Technical Skills :
- Proficiency in SQL with hands-on experience in relational databases (MySQL, PostgreSQL, SQL Server).
- Familiarity with NoSQL databases (MongoDB, Cassandra).
- Strong programming skills in Python, Java, or Scala.
- Understanding of data warehousing concepts and ETL processes.
- Experience with data integration tools (Apache NiFi, Talend).
- Exposure to cloud platforms (AWS, Azure).
- Hands-on with AWS Glue and/or Azure Data Factory.
- Knowledge of Big Data technologies (Hadoop, Spark) is desirable.
- Exposure to API development and machine learning basics is a plus.
Required Qualities :
- Strong analytical and problem-solving skills.
- Ability to work independently and in a team environment.
- Excellent communication and interpersonal skills.
- Detail-oriented with a commitment to delivering high-quality solutions.
Job Categories :
- Software Engineer (Software & Web Development)
- Data Engineer (Software & Web Development)
Core Skills & Proficiency (Minimum Experience) :
- Java (All Versions) 1 Year (Intermediate)
- Python 1 Year (Intermediate)
- SQL 2 Years (Intermediate)
- NoSQL 1 Year (Intermediate)
- ETL (Extract, Transform, Load) 2 Years (Intermediate)
- Data Engineering 2 Years (Intermediate)
- Data Modeling 2 Years (Intermediate)
- Azure 2 Years (Intermediate)
- AWS 2 Years (Intermediate)
- API Development 1 Year (Intermediate)
- Azure Data Factory 1 Year (Intermediate)
- Apache Glue 1 Year (Intermediate)
- Big Data 1 Year (Intermediate)
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