Technical Lead

2 months ago

TrivandrumThiruvananthapuram, India Mig Staffing Full time

Please apply if you are interested in C2H

We are looking for a qualified Data Engineer to join our team in Trivandrum

Roles and responsibilities :

- Lead Data Engineer will be responsible for designing, implementing, and maintaining data solutions on the Microsoft Azure Data platform and SQL Server (SSIS, SSAS, UC4 Atomic)

- Leading a team of data engineers, collaborating with various stakeholders, and ensuring the efficient processing, storage, and retrieval of large volumes of data

Technical Expertise and Responsibilities :

- Design, build, and maintain scalable and reliable data pipelines.

- Should be able to design and build solutions in Azure data factory and Databricks to extract, transform and load data into different source and target systems.

- Should be able to design and build solutions in SSIS

- Should be able to analyze and understand the existing data landscape and provide recommendations/innovative ideas for rearchitecting / optimizing / streamlining to bring efficiency and scalability.

- Must be able to collaborate and effectively communicate with onshore counterparts to address technical gaps, requirement challenges, and other complex scenarios.

- Monitor and troubleshoot data systems to ensure high performance and reliability.

- Should be highly analytical and detail-oriented with extensive familiarity with database management principles.

- Optimize data processes for speed and efficiency.

- Ensure the data architecture supports business requirements and data governance policies.

- Define and execute the data engineering strategy in alignment with the company's goals.

- Integrate data from various sources, ensuring data quality and consistency.

- Stay updated with emerging technologies and industry trends.

- Understand the big picture business process utilizing deep knowledge in banking industry and translate them to data requirements.

- Enabling and running data migrations across different databases and different servers

- Perform thorough testing and validation to support the accuracy of data transformations and data verification used in machine learning models.

- Analyze data and different systems to define data requirements.

- Should be well versed with Data Structures & algorithms.

- Define data mapping working along with business and digital team and data team.

- Data pipeline maintenance/testing/performance validation

- Assemble large, complex data sets that meet functional / non-functional business requirements.

- Analyze and identify gaps on data needs and work with business and IT to bring in alignment on data needs.

- Understand impact of data conversions as they pertain to servicing operations.

- Manage higher volume and more complex cases with accuracy and efficiency.

Responsibilities :

- Provide technical direction and guidance to the development team.

- Review and approve code, ensuring it meets quality standards and best practices.

- Troubleshoot and resolve technical issues as they arise.

- Foster a culture of collaboration, innovation, and continuous improvement within the team.

- Optimize data flow and collection for cross-functional teams.

- Work closely with Data counterparts at onshore, product owners, and business stakeholders to understand data needs and strategies.

- Collaborate with IT and DevOps teams to ensure data infrastructure aligns with overall IT architecture.

- Implement best practices for data security and privacy.

- Drive continuous improvement initiatives within the data engineering function.

What is the expectation from the candidate's current role/profile ?

- Design and develop warehouse solutions using Azure Synapse Analytics, ADLS, ADF, Databricks, Power BI, Azure Analysis Services

- Should be proficient in SSIS, SQL and Query optimization.

- Should have experience as a technical lead mentoring data engineer and driving data-oriented projects.

- Should have worked in onshore offshore model managing challenging scenarios.

- Lead data architecture and implementation efforts to structure, integrate, govern, store, describe, model, and maintain data warehouse for optimal accuracy and usage.

- Expertise in working with large amounts of data (structured and unstructured), building data pipelines for ETL workloads and generate insights utilizing Data Science, Analytics.

- Expertise in Azure, AWS cloud services, and DevOps/CI/CD frameworks.

- Ability to work with ambiguity and vague requirements and transform them into deliverables.

- Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently.

- Drive automation efforts across the data analytics team utilizing Infrastructure as Code (IaC) using Terraform, Configuration Management, and Continuous Integration (CI) / Continuous Delivery (CD) tools such as Jenkins.

- Help build define architecture frameworks, best practices & processes. Collaborate on Data warehouse architecture and technical design discussions.

- Expertise in Azure Data factory and should be familiar with building pipelines for ETL projects.

- Expertise in SQL knowledge and experience working with relational databases.

- Expertise in Python and ETL projects

- Experience in data bricks will be of added advantage.

- Should have expertise in data life cycle, data ingestion, transformation, data loading, validation, and performance tuning.

(ref:hirist.tech)

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