Devsinc
AssociateTeamLead-DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Associate Team Lead- Data Engineer at Devsinc. Skills: Data Engineering, Data Pipelines, SQL, Python. Build and optimize data pipelines. Transform raw data into insights”
What You'll Achieve.
Ensure integrity and accessibility of our data; Align data solutions with business goals
Industry & Context.
Excellent problem-solving skills; Focus on data integrity and performance optimization
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science, Data Engineering, or a related field, 4+ years of experience in data engineering or a related role, knowledge and experience in SQL and relational databases, Familiarity with ETL tools and technologies, Proficiency in programming languages such as Python or Scala, Hands-on experience with cloud platforms (AWS, Azure, GCP), Understanding of data warehousing concepts, Excellent problem-solving skills, communication skills, A collaborative spirit
Nice to Have
experience with PostgreSQL, experience with MySQL, experience with Apache Airflow, experience with Talend, experience with AWS Glue, experience with data storage technologies, experience with Snowflake, experience with Redshift
What You'll Do.
Build and optimize data pipelines
Transform raw data into insights
Facilitate data-driven decision-making
and enhance data pipelines
Streamline extraction
Define data requirements
Deliver robust data solutions
Implement validation and testing mechanisms
Utilize cloud services and data warehousing
Store and manage large volumes of data
Monitor and troubleshoot data pipelines
Provide timely resolutions to issues
Contribute to data governance initiatives
Enforce best practices related to data security
Stay updated with industry trends
How You'll Work.
Team & Collaboration
Collaborate with data scientists, analysts, and stakeholders; Work collaboratively with cross-functional teams; Work closely with team members across various functions
Communication Scope
Ability to convey technical concepts to non-technical stakeholders
Full Job Description
**Devsinc** is on the lookout for a highly motivated **Associate Team Lead** \- **Data Engineer** to join our dynamic data team. In this pivotal role, you will be responsible for building and optimizing data pipelines that transform raw data into valuable insights and facilitate data-driven decision-making. Your ability to work collaboratively with cross-functional teams and your expertise in data engineering will play a key role in shaping our data architecture and ensuring the integrity and accessibility of our data. **Key Responsibilities:** * Design, develop, and enhance scalable data pipelines and data models to streamline the extraction, transformation, and loading (ETL) processes. * Collaborate with data scientists, analysts, and stakeholders to define data requirements and deliver robust data solutions that align with business goals. * 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 affecting data availability. * Contribute to data governance initiatives by enforcing best practices related to data security, privacy, and compliance. * Stay updated with industry trends and emerging technologies in the data engineering space. **Requirements** * Bachelor’s degree in Computer Science, Data Engineering, or a related field. * 4+ years of experience in data engineering or a related role, with a proven track record in building data pipelines. * Strong knowledge and experience in SQL and relational databases (e.g., PostgreSQL, MySQL). * Familiarity with ETL tools and technologies (e.g., Apache Airflow, Talend, AWS Glue). * Proficiency in programming languages such as Python or Scala for data processing. * Hands-on experience with cloud platforms (AWS, Azure, GCP) and their data services. * Understanding of data warehou
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