Junior Data Engineer Job in Tvs Next

Why Join TVS Next:

We help our clients re-imagine, design and develop software to make this world a better place. Our missions are bold and hence we are on a constant lookout for people who are exemplary and want to build the future with us. We do not believe in hierarchy hence we have a flat organizational structure that gives our associates prodigious opportunities to grow. Adding to that, our culture is ever-evolving since we have people working from all over the country with us. Ergo, we want our people to be multifaceted

What Youll do

Data Engineer is responsible for the maintenance, improvement, cleaning, and manipulation of data in the businesss operational and analytics databases. The Data Engineer works with the businesss software engineers, data analytics teams, data scientists, and data warehouse engineers in order to understand and aid in the implementation of database requirements, analyze performance, and troubleshoot any existent issues.

The Data Engineer has to be an expert in SQL development further providing support to the Data and Analytics in database design, data flow and analysis activities. The position of the Data Engineer also plays a key role in the development and deployment of innovative big data platforms for advanced analytics and data processing.

The Data Engineer defines and builds the data pipelines that will enable faster, better, data-informed decision-making within the business.

Objectives and Responsibilities of the Data Engineer

Management:The Data Engineer manages his position and junior data engineering support personnel position by creating databases optimized for performance, implementing schema changes, and maintaining data architecture standards across all of the businesss databases.

In this position, the Data Engineer leads innovation through exploration, benchmarking, making recommendations, and implementing big data technologies for platforms. He is also tasked with the development and implementation of scripts for database maintenance, monitoring, performance tuning, and so forth.

The Data Engineer is additionally tasked with designing and developing scalable ETL packages from the business source systems and the development of ETL routines in order to populate databases from sources and also to create aggregates. It is also the role of the Data Engineer to oversee large-scale data Hadoop platforms and to support the fast-growing data within the business.

In this capacity, the Data Engineer is responsible for enabling and running data migrations across different databases and different servers, for example, data migration from SQL servers to MySQL. He defines and implements data stores based on system requirements and consumer requirements.

The Data Engineer is also responsible for performing thorough testing and validation in order to support the accuracy of data transformations and data verification used in machine learning models. The Data Engineer strives to ensure proper data governance and quality across the Data and Analytics department and the business as a whole.

Analytics:The Data Engineer plays an analytical role where he performs ad-hoc analyses of data stored in the businesss MySQL/MS SQL databases and writes SQL scripts, stored procedures, functions, and views. In this position, the Data Engineer troubleshoots data issues within the business and across the business and presents solutions to these issues. He proactively analyzes and evaluates the businesss databases in order to identify and recommend improvements and optimization.

He also prepares activity and progress reports regarding the business database status and health, which he presents to senior data engineers. In this position, the Data Engineer will additionally analyze complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models.

Support/Collaborative Role:The Data Engineer plays a collaborative role where, in collaboration with senior data engineering management, he develops and implements scripts for database maintenance, monitoring, and performance tuning to be applied across the business. The Data Engineer plays a supporting role to various departments across the business where he supports and provides useful insights on the implementation of workflows.

The Data Engineer also plays a supporting role to the data warehousing department in the implementation of the data warehouse for the new big data platforms. He works collaboratively with the entire Data and Analytics team, providing support to the entire department for its data centric needs.

Knowledge:It is also the Data Engineers duty to keep up with industry trends and best practices, advising senior management on new and improved data engineering strategies that will drive departmental performance leading to improvement in overall improvement in data governance across the business, promoting informed decision-making, and ultimately improving overall business performance.

What Youll Need:

• Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field
• Min 1+ Years of experience
• Master's degree in a relevant field is advantageous
• Proven experience as a Data Engineer, Software Developer, or similar
• Expert proficiency in Python, C++, Java, R, and SQL
• Familiarity with Hadoop or suitable equivalent
• Excellent analytical and problem-solving skills
• A knack for independent and group work
• Scrupulous approach to duties
• Capacity to successfully manage a pipeline of duties with minimal supervision