Data Engineer


  • QualificationB.Tech(CS-IT)
  • Experience4-6 years
About Us:

Founded in 2012, Successive Technologies is a CMMI-3 certified next-gen consulting and
technology services company, purpose-built for the modern speed of business. Our services
help organizations realize their true potential and enable them to achieve end-to-end digital
transformation. We have deep domain expertise in Enterprise App modernization, Digital
Experiences, Cloud Transformation, Digital Innovation, and Analytical & Creative
Intelligence. We combine unparalleled experience, comprehensive capabilities, and an
industry-based consultative approach across all industries & business functions to help
clients envision, build and run innovative and efficient businesses. Moreover, Successive has
been recognized as the Fastest Growing Technology Company for the fourth time by
Deloitte, India. Our global 600-strong workforce caters to 150+ customers across many
countries. Learn how Successive helps clients lead with innovation & digital transformation
at https://successive.tech/

Who are we looking for:

Role: Data Engineer
Qualification: B.Tech(CS-IT)
Experience: 4-6 years
Location: Pune

Mandatory Technical Skills:

• Data engineering with a focus on Google Cloud Platform (GCP) services, PySpark,
Airflow, Python, and Django.

Good to have Technical Skills:

• Strong proficiency in PySpark and experience with large-scale data processing and
• In-depth knowledge of GCP services such as Google Cloud Storage, BigQuery, Cloud
Functions, Cloud Composer, Dataproc, etc.
• Experience with data integration and workflow management tools, preferably
Proficiency in Python programming and familiarity with Django.
• Solid understanding of SQL, database design, and data modelling.


• Design, develop, and implement data pipelines and ETL/ELT processes using GCP
data, Engineering services such as google cloud storage, Big query, cloud functions,
cloud composer, dataproc, etc.
• Utilize Pyspark for large-scale data processing and transformation, ensuring efficient
And scalable solutions.
• Collaborate with cross-functional teams, including data scientists and analysts, to
Understand data requirements and implement effective data solutions.
• Build and maintain data integration workflows using airflow to ensure reliable and
Automated data pipelines.
• Develop and optimize SQL queries and data models to support data analysis and
Reporting needs.
• Ensure data quality and integrity by implementing validation checks, error-handling
Mechanisms, and governance processes.
• Monitor and troubleshoot data pipelines, identifying and resolving performance
Bottlenecks, and inconsistencies.
• Stay up to date with the latest advancements in data engineering technologies and
Best practices and provide recommendations for process improvements.

Personality Attributes/ Traits:

• Strong problem-solving skills and the ability to work in a fast-paced, collaborative
• Excellent communication and interpersonal skills to effectively collaborate with team
Members and stakeholders.

Your Life at Successive:

• Successive has a culture of diverse, global teams who have a passion for
collaboration and client service. We challenge, inspire and develop each other,
empowering us to own our destinies and careers.
• We extend our support in mentoring, and on-the-job development which helps you
to achieve career success.
• We provide comprehensive benefits including Maternity and Paternity Leaves
benefits and other paid leaves.
• We allow our talent to work on multiple technologies.

• We provide a “Professional Development Program” that helps you develop your
technical and behavioral skills and competencies.
• We ensure On-Time salaries which are above or at par with market standards.
• We have a well-defined Reward & Recognition process.
• We love fun and have team outings, parties, sports activities, and cultural events
around the year.

Follow us on:

Website: https://successive.tech/
Facebook: https://www.facebook.com/Successivetech/
LinkedIn: https://www.linkedin.com/company/successivetech
You may write us or share your applications at: [email protected]