Senior Data engineer DE 1 Urgent Search

Job Description

Greetings from OrangeLink

For our client based in Pune and Mumbai we are looking at senior Data engineer

About the Company:

We are a global analytics company, with a mission to empower enterprises to build scalable and

robust artificial intelligence & machine learning based applications and solutions. We are a team

of data engineers and data scientists helping businesses with actionable intelligence and data-

driven decisions. The Inferyx platform is an end to end data and analytics platform that lets you

disrupt and accelerate with data.

Job Title: Senior Data Engineer

Experience: 8+ Years

Location : Pune

Employment Type: Full-time

Job Description:

We are looking for a Senior Data Engineer who is responsible for the design and development of

scalable data pipelines and integrations to support continual increases in data volume and

complexity. Work with analytics and business teams to understand their needs, create pipelines,

improve data models that feed BI and visualization tools.

Key Responsibilities:

Data Pipeline Development: Design, develop, and maintain robust ETL pipelines to

move data from source systems to our data storage platforms. This includes data

ingestion, transformation, and data quality checks to ensure accuracy and completeness.

Data Modeling: Create and maintain data models and schemas that support business

analytics, reporting, and data visualization requirements. Optimize data structures for

performance and scalability.

Data Integration: Integrate data from various internal and external sources, including

databases, APIs, flat files, and streaming data sources. Ensure seamless data flow across

systems and platforms.

Performance Optimization: Identify and address performance bottlenecks in data

pipelines and database systems. Implement optimizations to improve data processing

speed, scalability, and efficiency.

Data Quality and Governance: Implement data quality checks, validation rules, and

data governance policies to maintain the integrity and reliability of our data assets.

Monitor data quality metrics and take proactive measures to address issues.

Collaboration: Work closely with data analysts, data scientists, and other stakeholders to

understand data requirements and deliver solutions that meet business needs. Collaborate

with IT teams to ensure alignment with overall technology architecture and standards.

Documentation and Best Practices: Document data pipelines, data models, and

technical specifications. Follow best practices for software development, version control,

and deployment processes.

Continuous Improvement: Stay abreast of industry trends, emerging technologies, and

best practices in data engineering. Identify opportunities for process improvement and

automation to streamline data workflows and increase productivity.

Required Skills and Qualifications:

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

8+ years of experience in data engineering or related roles.

Proficiency in programming languages such as Python, Java, or Scala.

Strong SQL skills and experience with relational databases (e.g., MySQL, PostgreSQL).

Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift).

Familiarity with big data processing frameworks (e.g., Apache Spark, Hadoop).

Hands-on experience with ETL tools and data integration platforms.

Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.

Understanding of data modeling principles and data warehousing design patterns.

Excellent problem-solving skills and attention to detail.

Strong communication and collaboration skills, with the ability to work effectively in a

team environment.

Salary range

24-36 L

If interested, please share cv with expected CTC

[Confidential Information]

Available to answer queries on whattsapp 9823017220

Spotlight

- Rewards & recognition, Course reimbursements, Professional degree assistance

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