Senior Data Engineer

Bengaluru, Karnataka, India

Twenty20 Systems

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We are seeking a talented and experienced Senior Data Engineer to join our dynamic team at Twenty20 Systems. As a Senior Data Engineer, you will play a pivotal role in designing, building, and maintaining data pipelines that empower our organization to make data-driven decisions. You will collaborate closely with cross-functional teams to gather requirements, implement data solutions, and ensure data accuracy and quality.

Responsibilities:

  • Design and develop efficient and scalable data pipelines to facilitate data ingestion, transformation, and storage.
  • Collaborate with data architect and business stakeholders to understand data requirements and implement effective data solutions.
  • Implement data engineering best practices and standards to ensure the quality, reliability, and maintainability of our data pipelines.
  • Optimize data pipelines for performance, ensuring timely and accurate delivery of data to end-users.
  • Build robust data workflows and automation processes to streamline data processing and analysis.
  • Implement data quality and data governance processes to ensure the accuracy, integrity, and compliance of data.
  • Identify and resolve data-related issues and bottlenecks, contributing to the continuous improvement of our data infrastructure.
  • Mentor and guide junior data engineers, helping them enhance their technical skills and grow their careers.
  • Stay updated with the latest trends and technologies in the field of data engineering, bringing new ideas and solutions to the team.

Requirements

Qualifications:

  • A Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field is required.
  • Proven experience as a Senior Data Engineer or in a similar role, preferably in a fast-paced and data-intensive environment.
  • Strong proficiency in SQL and experience with relational databases.
  • Expertise in big data technologies such as Hadoop, Spark, or Kafka.
  • Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud.
  • Proficient in at least one programming language such as Python, Java, or Scala.
  • Experience with data processing frameworks such as Apache Airflow or Luigi.
  • Knowledge of data modeling and data warehousing concepts.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.

You're a Great Fit If You Have:

  • A passion for data and a deep understanding of the value it brings to organizations.
  • Strong attention to detail and a drive for delivering high-quality and accurate data solutions.
  • An entrepreneurial mindset and the ability to thrive in a fast-paced and rapidly changing environment.
  • A collaborative and growth-oriented mindset, with a willingness to learn from others and share knowledge.

Benefits

  • Health Insurance: Protect your health with our comprehensive coverage.
  • Flexible Working Arrangements: Find balance with flexible schedules tailored to your life.
  • Paid Time Off (PTO): Enjoy well-deserved breaks with paid leave for vacations and holidays.
  • Training and Development Opportunities: Invest in your future with tailored training programs for growth.
  • Performance Bonuses or Incentives: Celebrate success with rewards for exceptional performance.
  • Wellness Programs: Prioritize well-being with access to fitness classes and mindfulness sessions.
  • Recognition and Rewards: Feel appreciated and valued with recognition for your contributions.
  • Employee Referral Programs: Join our team and earn rewards for bringing top talent on board
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow AWS Azure Big Data Computer Science Data governance Data pipelines Data quality Data Warehousing Engineering GCP Google Cloud Hadoop Java Kafka Pipelines Python RDBMS Scala Spark SQL

Perks/benefits: Flex hours Flex vacation Health care Salary bonus Wellness

Region: Asia/Pacific
Country: India
Job stats:  3  1  0
Category: Engineering Jobs

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