Senior Data Engineer

Employment Type: Full-Time

Location: Bangalore

Work Type: Hybrid

Senior Data Engineer at Think Right Technologies will be responsible for building and deploying scalable data driven solutions. Data Engineers are responsible for working with both SQL and NoSQL technologies and collaborating with other product

development teams identifying and implementing the appropriate data repositories based on strategical business needs.

Responsibilities for Senior Data Engineer

Data Pipeline Development

Assist in designing, developing, and maintaining data pipelines to ensure efficient data ingestion, transformation, and storage.

Collaborate with senior data engineers to implement ETL (Extract, Transform, Load) processes and workflows.

Database Management

Support the management and optimization of relational and NoSQL databases.

Assist in database schema design, indexing, and performance tuning.

Data Quality and Integrity:

Monitor and validate data to ensure accuracy and consistency across systems.

Help identify and resolve data quality issues and implement data cleansing

techniques.

Data Integration

Assist in integrating data from various sources, including internal and external systems, APIs, and third-party data providers.

Support data migration and synchronization tasks as needed.

Collaboration and Communication

Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions.

Participate in team meetings, providing updates on progress and contributing to project discussions.

Documentation and Reporting

Document data engineering processes, workflows, and systems to ensure clarity and maintainability.

Prepare reports and presentations to communicate data insights and project

status to the team and management.

Qualifications and Working Experience

1. Bachelor’s degree in computer science, Information Technology, Data Science, or a related field.

2. 5 - 7 years of experience in data engineering, database management, or a

related role.

Technical Skills

1. Proficiency in SQL and experience with relational databases (e.g., MySQL,

PostgreSQL, SQL Server).

2. Familiarity with NoSQL databases (e.g., MongoDB, Cassandra) is a plus.

3. Knowledge of programming languages such as Python Java, or Scala is must.

4. Understanding of data warehousing concepts and ETL processes. ML Basics

and exposure is desirable

5. Familiarity with data integration tools and platforms is a plus (e.g., Apache NiFi,Talend).

6. AWS, Glue and/or Azure Data Factory exposure/experience is a plus/desirable

7. Experience in API, Big Data Technologies is desirable

8. ML Basics and exposure is desirable

Required Qualities

1. Strong analytical and problem-solving skills.

2. Ability to work effectively both independently and as part of a team.

3. Excellent communication and interpersonal skills.

4. Attention to detail and a commitment to delivering high-quality work

LEVEL OF EXPERTISE

ETL(Extract, Transform, Load) - 2 years

Data Engineering - 5 years

SQL - 3 years

Python - 3 years

Data Modeling - 3 years

Azure - 3 years

AWS - 3 years

NoSQL - 2 years

API Development - 2 years

Azure Data Factory - 1 years

Big Data - 1 years

Apache Scala - 2 years