Bachelor's degree in Computer Science, Engineering or related field
8+ years of overall work experience working on Data First systems
4+ years of experience on Data Lake/Data Platform projects on AWS/Azure
Extensive experience in working with Data warehousing tools like Snowflake/BigQuery/RedShift.
Strong database development skills, including Proficiency in SQL for managing and querying data.
Bachelor's degree in Computer Science, Engineering or related field
8+ years of overall work experience working on Data first systems
4+ years of experience on Data Lake/Data Platform projects on AWS/Azure
Extensive experience in working with Data warehousing tools like Snowflake/BigQuery/RedShift.
Strong database development skills, including Proficiency in SQL for managing and querying data.
Experience with relational databases (Azure SQL, AWS RDS) and an understanding of NoSQL (MongoDB) databases for handling various data formats and structures.
Good to have experience with orchestration tools like Airflow and DBT.
Experience building stream-processing systems, using solutions such as Kafka/Azure Event Hub etc.
Deep understanding of building and managing data lake solutions on cloud, including data ingestion, storage, management, and consumption layers.
Expertise in designing and implementing ETL/ELT processes using Azure Data Factory or similar tools to ingest and transform data from various business systems into the data lake.
Extensive experience in implementing data migration and data processing with AWS (S3, Glue, Lambda, Athena, RDS Aurora) or Azure (ADF, ADLS, Azure Synapse, Databricks)
Skills in data cleansing and enrichment to ensure data quality and usability for downstream processing and analytics.
Ability to manage schema evolution and metadata for the data lake. Experience with tools like Azure Purview for data discovery and cataloging.
Proficiency in creating and managing APIs for data access, preferably with experience in JDBC/ODBC to enable SQL query access to the data catalogs.
Knowledge of data governance practices to ensure data privacy, security, and compliance with regulatory requirements, such as GDPR for data protection.
Experience with implementing security measures in the data lake, including data encryption, access controls, and audit logs
Ability to support analytical queries by optimizing data storage and retrieval, and understanding of indexing, partitioning, and performance tuning.
Strong programming skills in languages like Python, Scala, or SQL that are commonly used in data engineering.
Experience with automation and orchestration tools to streamline data operations. Familiarity with CI/CD practices.
Strong teamwork skills to collaborate effectively with the Principal Data Architect and other team members, ensuring that the data solutions align with the broader architectural and business goals.
Advanced problem-solving skills to address technical challenges and implement effective solutions within the data lake framework.
Lead the creation, development, and implementation of critical system design changes, enhancements, and software projects.
Collaborate with the Leadership, Product Managers and other stakeholders to translate business needs into robust, scalable, and efficient data infrastructure systems.
Ensure timely execution of project deliverables.
Work with other lead engineers and architects to ensure the system and product is consistent and aligned through all processes.
Review and approve design proposals and documents from the software engineers to ensure compliance with company standards.
Follow development standards and promote best practices.
Perform code review sessions & suggest improvements or alternatives when appropriate.
Experience in an Agile model.
Delivering quality deliverables on time.
Translating complex functional requirements into technical solutions.
Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment or even abroad in one of our global centers or client facilities!
Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!
Keyskills: continuous integration data amazon redshift data warehousing project ci/cd data migration tools sql database development cloud dao design api etl data lake programming cd snowflake process python data processing microsoft azure elt system lambda expressions teamwork athena aws
GlobalLogic is a full-lifecycle product development services leader thatcombines deep domain expertise and cross-industry experience to connectmakers with markets worldwide. Using insight gained from working on innovative products and disruptive technologies, we collaborate with customers to...