A
Data engineer
A
Data engineer
Aspyra Hr ServicesThis job is no longer accepting applications
Job Description
Key Responsibilities:
- Manage and transform big data sets using PySpark, Spark-Scala, NumPy, and pandas.
- Handle analytics and data engineering projects using Python, Spark, SQL, and related tools.
- Collaborate with customers on Python model evolution and code management.
- Develop client-ready deliverables independently with minimal supervision.
- Communicate effectively with clients and present analytical solutions clearly.
Data Management Skillsets:
- Understand data models and identify opportunities for ETL optimization.
- Translate functional requirements into technical specifications.
- Work with advanced SQL functionalities such as joins, nested queries, and procedures.
- Exposure to ETL tools is preferred.
Candidate Profile:
- 3+ years of experience in analytics and data engineering.
- Strong knowledge of Python, PySpark, SQL, Hadoop, Spark, and HIVE.
- Excellent analytical, problem-solving, and communication skills.
More Info
Job Type:
Industry:
Role:
Function:
Employment Type:
About Company
Skills:
Pyspark, AWS Glue, Data Modeling, Emr, Avro, Autosys, Sql, Cloudwatch, Terraform, Etl Tools, Databricks, Python, AWS, Airflow, Parquet, AWS Lake Formation, Iceberg
Skills:
Power Bi, Pyspark, Agile Scrum, Tableau, Databases, Git, Data Warehousing, Informatica Powercenter, Python, Airflow, Data Lake concepts, Advanced SQL and performance tuning, IICS, dbt, CI/CD
Skills:
Kms, Pyspark, Iam, Sql, Python, AWS Lake Formation
Skills:
data engineering , Data Governance, Data integration techniques and tools, Data Analysis Interpretation, Data Architecture Principles, Cloud-based data platforms, Distributed computing environments
Skills:
data engineering , AWS Glue, Data Modeling, Sql, Etl, Step Functions, Airflow, IAM roles and permissions