Associate Team Lead- Data Engineer

Devsinc is seeking a highly motivated Associate Team Lead - Data Engineer to join our dynamic data team. In this key role, you will be responsible for designing, building, and optimizing data pipelines that convert raw data into actionable insights, enabling data-driven decision-making across the organization. You will collaborate closely with cross-functional teams, including data scientists and analysts, to shape our data architecture while ensuring data integrity and accessibility. Your expertise in data engineering and your ability to lead and mentor team members will be essential in driving the success of our data initiatives.

Key Responsibilities

- Design, develop, and enhance scalable data pipelines and data models to streamline ETL (extract, transform, load) processes.
- Collaborate with data scientists, analysts, and business stakeholders to define data requirements and deliver robust, business-aligned data solutions.
- Ensure data quality, consistency, and accuracy by implementing validation and testing mechanisms.
- Utilize cloud services and data warehousing solutions to efficiently store and manage large volumes of data.
- Monitor and troubleshoot production data pipelines, providing timely resolutions to issues impacting data availability.
- Contribute to data governance initiatives by enforcing best practices related to data security, privacy, and compliance.
- Stay current with industry trends and emerging technologies in data engineering to continuously improve processes and tools.

Required Qualifications

- Bachelor’s degree in Computer Science, Data Engineering, or a related field.
- Minimum of 4 years of experience in data engineering or a related role, with a proven track record of building and maintaining data pipelines.
- Strong proficiency in SQL and experience working with relational databases such as PostgreSQL and MySQL.
- Familiarity with ETL tools and technologies like Apache Airflow, Talend, or AWS Glue.
- Proficient in programming languages such as Python or Scala for data processing tasks.
- Hands-on experience with cloud platforms including AWS, Azure, or Google Cloud Platform, and their associated data services.
- Solid understanding of data warehousing concepts and experience with data storage technologies such as Snowflake or Redshift.
- Excellent problem-solving skills focused on maintaining data integrity and optimizing performance.
- Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders effectively.
- A collaborative mindset with a willingness to work closely with team members across various functions.
- Proactive attitude toward learning new tools and technologies within the data ecosystem.

While preferred qualifications and benefits were not explicitly mentioned, candidates who demonstrate leadership potential, a strong commitment to data governance, and a passion for innovation in data engineering will thrive in this role. This position offers an opportunity to work in a fast-paced environment where your contributions will directly impact the company’s data strategy and business outcomes.