Senior Data Engineer

DEXTRIS is headquartered in Bangalore, India and offers Training, consulting & Recruitment services to customers. We have a strong team of steadfast, inspired people who are focused persistently on customer satisfaction. From our inception, we have combined a thorough and effective approach with a keen ability to deliver solutions and results to all the clients that we serve across the globe. Our Business value are Speedier time to market. Improvements in cost and energy efficiency. Increased productivity.

The Role

Senior Data Engineer

Location: Only Bangalore Location

Notice Period : Immediate Joiners

Experience: 5-10 Yrs

Role Overview

We are seeking a highly motivated and experienced Senior Data Engineer to join our growing data team. You will play a crucial role in designing, building, and maintaining our data pipelines and data warehouse infrastructure on AWS. Your expertise in ETL processes, data warehousing principles, and proficiency in Python and Spark will be instrumental in enabling data-driven decision-making across the organization. You will collaborate closely with data scientists, analysts, and other engineering teams to deliver robust and scalable data solutions.

Responsibilities

• Design, develop, and maintain scalable and efficient ETL pipelines to ingest, transform, and load data from various sources into our data warehouse.
• Build and optimize our data warehouse architecture on AWS, ensuring performance, reliability, and cost-effectiveness.
• Develop and implement data models that support business requirements and analytical needs.
• Write clean, efficient, and well-documented code in Python and Spark for data processing and automation.
• Implement data quality checks and monitoring systems to ensure data accuracy and integrity.
• Collaborate with data scientists and analysts to understand their data requirements and provide them with the necessary data infrastructure and tools.
• Troubleshoot and resolve data-related issues in a timely manner.
• Stay up-to-date with the latest trends and technologies in data engineering, cloud computing (AWS), and big data processing.
• Participate in code reviews and contribute to the improvement of our engineering standards and best practices.
• Mentor and guide junior data engineers on the team.
• Contribute to the planning and execution of data engineering projects.
  
  

Ideal Profile

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5-10 years of proven experience in data engineering roles.
• Strong understanding of data warehousing concepts, including dimensional modeling (e.g., star schema, snowflake schema).
• Extensive experience designing, building, and optimizing ETL/ELT pipelines using tools and technologies like Apache Spark, AWS Glue, or similar.
• Excellent programming skills in Python, with experience in data manipulation libraries (e.g., Pandas, NumPy).
• Solid experience working with big data technologies and frameworks (e.g., Spark, Hadoop).
• Hands-on experience with AWS cloud services, including:
• Data warehousing: Amazon Redshift, Snowflake on AWS
• ETL: AWS Glue, AWS Data Pipeline
• Storage: Amazon S3
• Compute: Amazon EC2, AWS Lambda
• Orchestration: AWS Step Functions, Apache Airflow on AWS
• Proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases.
• Experience with data quality and data governance principles.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team in a fast-paced environment.
  
  

What's on Offer?

• Work alongside & learn from best in class talent
• Excellent career development opportunities
• Attractive salary & benefits