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Lead Data Engineer
4 weeks ago
Title: Lead Data Engineer
Location: Bethlehem, PA
Type: Contract
Role & Responsibilities:
Be accountable for the delivery of the project within the defined timelines with good quality.
Working with the clients and Offshore leads to understanding requirements, coming up with high-level designs, and completing development, and unit testing activities.
Keep all the stakeholders updated about the task status/risks/issues if there are any.
Keep all the stakeholders updated about the project status/risks/issues if there are any.
Work closely with the management wherever and whenever required, to ensure smooth
execution and delivery of the project.
Guide the team technically and give the team directions on how to plan, design, implement, and deliver the projects.
Key Skills:
- 10+ years of relevant experience in Data Engineering and delivery.
- 10+ years of relevant work experience in Big Data Concepts. Worked on cloud implementations.
- Strong experience with SQL, python, and Pyspark
- Good understanding of Data ingestion and data processing frameworks
- Good experience in Snowflake, SQL, AWS (glue, EMR, S3, Aurora, RDS, AWS architecture)
- Good aptitude, strong problem-solving abilities, analytical skills, and ability to take ownership as appropriate.
- Should be able to do coding, debugging, performance tuning, and deploying the apps to the Production environment.
- Experience working in Agile Methodology
- Ability to learn and help the team learn new technologies quickly.
- Excellent communication and coordination skills
- Knowledge of implementing ETL/ELT for data solutions end to end
- ingest data from Rest APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift, Lakehouse
- Understanding requirements, and data solutions (ingest, storage, integration, processing, access) on AWS
- Knowledge of analyzing data using SQL Stored procedures
- Build automated data pipelines to ingest data from relational database systems, file system
- Conducting End to End verification and validation for the entire application
- Using Git/bitbucket for efficient remote team working, storing framework, and developing test scripts.
Responsibilities:
- Understand and translate business needs into data models supporting longterm solutions.
- Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models
Perform reverse engineering of physical data models from databases and SQL scripts.
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