Senior Software Engineer - Data Engineering

Department: Digital Engineering

Location: India Remote

Description

Why Should You Become a Senior Data Engineer At Axelerant?

At Axelerant, we provide a platform to tackle large-scale data challenges using the latest tools and technologies. You'll work on ingesting vast amounts of data to build robust processing and analytical pipelines. Collaborate with Fortune 500 clients and solve impactful problems for large audiences using modern tools and technology.
We are looking for an experienced Senior Data Engineer to design and optimize data architecture, ensuring reliable and scalable data processing. You will work closely with cross-functional teams to integrate and make data accessible, driving data-driven decisions through innovative solutions. This role also involves leading and mentoring a team of engineers, fostering a collaborative and high-performance environment.

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.



Why Work At Axelerant?

We're a people-first company where AI and innovation meet purpose. Guided by values of Openness, Enthusiasm, and Kindness, we invest in your growth and well-being, embracing flexibility, continuous learning, and inclusivity.

Benefits:

• Remote work and flexibility: Customize your schedule


• Comprehensive leave policy: 52 weekends, 40 days of consolidated leave, plus special leaves


• Inclusive, supportive culture: Diversity and equal opportunities at the core


• Medical insurance for you and your family


• Professional coaching and mentorship opportunities