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Quation Solution - Consultant – Data engineer

Reposted 11 Days Ago
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In-Office
Bangalore, Bengaluru Urban, Karnataka, IND
Junior
In-Office
Bangalore, Bengaluru Urban, Karnataka, IND
Junior
Design, build, and maintain ETL/data pipelines using SQL and Python with Airflow orchestration. Implement data quality checks, optimize pipelines for performance, document workflows, and collaborate with analysts/scientists to deliver scalable data solutions.
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Company : Quation Solution 

Position: Data Engineer

Location : Bangalore (WFO)

JOB DESCRIPTION

We are looking for a skilled and passionate Data Engineer to join our growing team. As  a   Data Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure, ensuring the smooth flow of data and enabling data-driven decision-making across the organization.

Responsibilities:

• Design, build, and maintain efficient and reliable data pipelines using SQL and

Python, leveraging tools like Apache Airflow for orchestration.

• Develop ETL (Extract, Transform, Load) processes to move data between various sources and destinations.

• Implement data quality checks and validation routines to ensure data accuracy and integrity.

• Collaborate with data analysts and scientists to understand their data needs and translate them into actionable data solutions.

• Optimize existing data pipelines for performance and scalability using Airflow's features for monitoring and optimization.

• Develop and maintain documentation for data pipelines and processes, including Airflow workflows.

• Contribute to the development and maintenance of data governance policies.

• Stay up-to-date with the latest trends and technologies in the data engineering  field, including advancements in orchestration tools like Airflow.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.

• 2-3 years of experience as a Data Engineer or in a similar role.

• Strong proficiency in SQL for data querying, manipulation, and analysis.

• Excellent programming skills in Python, including experience with data  manipulation libraries (Pandas, NumPy) and data engineering libraries (Dask, Airflow).

• Proficiency in using Apache Airflow for data pipeline orchestration, scheduling,  and monitoring.

• Familiarity with cloud platforms (AWS, Azure, GCP) and data warehousing  solutions (Snowflake, Redshift).

• Experience with data visualization tools (Tableau, Power BI) is a plus.

• Ability to work independently and as part of a team.

• Strong analytical and problem-solving skills.

• Excellent communication and documentation skills

About Quation

We specialize in delivering synergistic solutions that enable businesses to make informed decisions. With 200+ years of cumulative experience, our leaders strive to create customized solutions that empower Fortune companies to make better decisions. We deliver tangible and measurable benefits through advanced analytics solutions.
Quation is a forward-thinking organization that is committed to delivering high-quality services to its clients. We are known for our expertise in specialized fields viz. Technology, Supply Chain Analytics, Data Engineering, Data Warehousing, and Marketing Analytics.
Our goal is to help businesses achieve their objective by providing them with the tools, information, and resources that they need to succeed. Quation provides exceptional customer service and builds long-term relationships.
Data is an asset! When harnessed, it effectively enhances performance, fosters efficiency, and accelerates growth in real-time.
At Quation, we believe that the field of analytics is constantly evolving. To stay abreast with the latest trends and technologies, we make significant investments in learning and development.
With deep domain expertise and core technical knowledge, our products and services provide our customers with a vital competitive edge. We create a world where understanding the complex intricacies of businesses becomes easier.
Our USP is our ability to leverage artificial intelligence to help businesses solve complex problems and make data-driven decisions. We analyze vast amounts of data quickly and accurately, providing insights that would be difficult or impossible to obtain through traditional methods.
We help businesses automate processes, improve efficiency, reduce costs, and gain a competitive advantage in the marketplace.

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