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Engaged Employer

Angel One

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3.9

based on 1.5k Reviews

46 Angel One Jobs

Director of Data Engineering

Angel Broking Limited

3.9

based on 1.5k Reviews

10-12 years

Kolkata, Mumbai, New Delhi + 4 more

1 vacancy

Director of Data Engineering

Angel One

posted 21d ago

Job Role Insights

Fixed timing

Key skills for the job

SQL Automation Testing Operations Health Insurance Active Directory CCTV Monitoring

+ 3 more

Job Description

What you will do:

Lead and manage the data engineering team, including hiring, mentoring, performance management, and fostering a culture of innovation and collaboration.
Develop and execute the data engineering strategy, aligning it with overall business objectives and anticipating future data needs.
Architect, design, build, and maintain highly scalable, reliable, and performant data pipelines and infrastructure on AWS, leveraging services like EMR, Glue, Redshift, and others.
Oversee all aspects of data lifecycle management, including data ingestion, transformation, storage (Parquet, Delta), processing (Spark), real-time streaming (Kafka), and efficient retrieval.
Ensure data quality, integrity, and security by implementing robust data validation, monitoring, and governance processes.
Establish and maintain data governance policies and procedures, ensuring compliance with relevant regulations and internal standards.
Evaluate, select, and implement appropriate data engineering tools and technologies, staying up-to-date with industry best practices and emerging trends.
Collaborate closely with data scientists, data analysts, and other stakeholders to understand their data requirements and provide effective data solutions.
Manage budgets, resources, and vendor relationships effectively.
Drive continuous improvement in data engineering processes, promoting automation, CI/CD, and DevOps practices.
Champion data literacy and promote data-driven decision-making across the organization.
Oversee log processing and analysis to gain operational insights and ensure system stability.

Who you are:

Bachelor s or Master s degree in Computer Science, Engineering, or a related field.
10+ years of experience in data engineering, with at least 5 years in a leadership role managing technical teams.
Deep understanding of data warehousing, data lake, and data lakehouse architectures.
Expert-level proficiency in SQL and strong programming skills in Python and ideally Go.
Extensive hands-on experience with big data technologies, including Spark, and real-time streaming platforms like Kafka.
Strong experience with AWS cloud services, particularly EMR, Glue, Redshift, S3, and other relevant services.
Experience with data modeling, ETL/ELT processes, data quality management, and data governance.
Experience working with Parquet and Delta Lake data formats.
Experience with log processing and analysis tools and techniques.
Solid understanding of CI/CD and DevOps practices.
Excellent leadership, communication (written and verbal), and interpersonal skills.
Ability to think strategically, solve complex problems, and work effectively in a fast-paced, dynamic environment.
Experience managing budgets and resources effectively.