Senior Data Engineer
- Posted a month ago
- Over 50 applicants have applied
Job Description
Key Responsibilities
- Design and develop high-performance, scalable data pipelines using PySpark, SQL, and cloud platforms.
- Optimize distributed data processing for improved efficiency and reliability.
- Implement best practices in data modeling, architecture, and governance.
- Ensure data integrity, security, and compliance within cloud environments.
- Automate data workflows, monitor pipeline performance, and troubleshoot issues proactively.
- Provide technical leadership and mentorship to junior engineers, conduct code reviews, and establish best practices.
Required Skills & Experience
- 4+ years of hands-on experience in Data Engineering with expertise in Python, PySpark,Spark, SQL, and Cloud platforms.
- Strong proficiency in Snowflake, Databricks, or Microsoft Fabric.
- Solid experience in data architecture, modeling, and pipeline optimization.
- Hands-on experience with workflow orchestration tools (e.g., Airflow, DBT).
- Proven ability to mentor and lead junior engineers while driving best practices in data engineering.
More Info
Job Type:
Industry:
Role:
Function:
Employment Type:
About Company
Anblicks guides its clients in customizing their data foundation, deploying an insight-driven platform, and provides continuous support with its innovative services. This empowers clients to fully leverage their data assets, securing their future capabilities. The framework promotes data democratization and governance, driving growth and enhancing competitive edges through strategic use of data and AI.
Skills:
thoughtspot , snowflake , Apis, Power Bi, Kafka, Sql, ELT, Azure Data Factory, Azure Functions, Ssas, Dax, Azure Storage, Python, Etl, Tabular Models, dbt
Skills:
Relational databases (Snowflake, Redshift), Sql Database Design, Python, Agile Scrum Methodology, CI/CD processes
Skills:
Pyspark, Machine Learning, Databricks, Sql, Lakehouse architecture
Skills:
Tableau, Sql, Azure Synapse Analytics, Azure Data Factory, Pyspark, Power Bi, Python, Azure DevOps, Azure Monitor, dbt, Log Analytics, Azure Data Services, AWS components
Skills:
snowflake , Data Modeling, Powerbi, Data Warehousing, Sql, Python, Etl, Azure Data Fabric