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Engaged Employer

Axelerant

Compare

4.4

based on 40 Reviews

1 Axelerant Senior Software Engineer Job

Senior Software Engineer - Data Engineering

Axelerant Technologies Pvt Ltd

4.4

based on 40 Reviews

4-7 years

Kolkata, Mumbai, New Delhi + 4 more

1 vacancy

Senior Software Engineer - Data Engineering

Axelerant

posted 20d ago

Job Role Insights

Flexible timing

Key skills for the job

Medical Coding Python Automation Testing Machine Learning Clinical Data Management Backend

+ 4 more

Job Description

Your Job Responsibilities

Design, develop, and maintain scalable, reliable, and efficient data pipelines to process large volumes of structured and unstructured data.
Build and optimize data architectures and databases to support data ingestion, transformation, storage, and retrieval.
Collaborate with stakeholders to understand data requirements and deliver solutions aligned with business needs.
Implement and maintain ETL/ELT processes to ensure data accuracy, integrity, and availability.
Monitor and troubleshoot data pipelines and systems to ensure optimal performance and reliability.
Drive the adoption of best practices in data engineering, including coding standards, testing, and version control.
Work closely with data scientists, analysts, backend developers, and the product team to enable advanced analytics and machine learning workflows.
Develop and enforce data governance and security standards to ensure compliance with regulatory requirements.
Mentor and guide junior data engineers, fostering a culture of knowledge sharing and continuous improvement.
Stay updated on emerging technologies and trends in data engineering, proposing innovative solutions to enhance our data capabilities.

Skills and Qualifications Required

Proven experience as a Senior Data Engineer, with 5 years of experience and a strong track record of designing and implementing large-scale data solutions.
Proficiency in programming languages such as Python, Java, or Scala, with expertise in building data pipelines and workflows.
Deep understanding of data modeling, database design, and query optimization for relational and NoSQL databases.
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud, including data services like Redshift and BigQuery.
Proficiency with specialized platforms such as Snowflake and Databricks for advanced data management and analytics.
Strong knowledge of distributed data processing frameworks like Apache Spark, Kafka, or Flink.
Experience with data visualization tools such as Apache Superset, Tableau, or similar platforms to support insights and reporting.
Experience with orchestration tools like Apache Airflow, Prefect, or other similar platforms for workflow automation.
Familiarity with containerization and orchestration tools like Docker and Kubernetes.
Solid understanding of data governance, security, and compliance best practices.
Strong communication skills to effectively collaborate with technical and non-technical stakeholders.

Good To Have

Experience with real-time data streaming technologies.
Familiarity with CI/CD pipelines and DevOps practices.
Knowledge of machine learning model deployment workflows.
Exposure to multi-cloud environments.
Certifications from cloud providers like AWS or Azure, or data platforms like Snowflake or BigQuery.

What Would Success Look Like For You?

Success in this role means building reliable and efficient data pipelines, ensuring data availability and quality for key stakeholders. You ll be recognized for driving innovation, optimizing systems, and enabling advanced analytics to solve complex business challenges.

Your Work s Impact

Your work will empower teams across the company to make informed decisions through robust data systems. By creating scalable and efficient data solutions, you will enable innovation and deliver exceptional value to customers.

Employment Type: Full Time, Permanent

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