Apps Associates

4 weeks ago

Gurugram, India Apps Associates (I) Pvt. Ltd Full time

Job Description :


Key Responsibilities :


- Data Architecture & Strategy : Lead the design and implementation of scalable, reliable, and high performance data architectures, data lakes, and data warehouses.


- ETL/ELT Pipeline Development : Architect, build, and optimize complex ETL/ELT pipelines to ingest, transform, and load data from diverse sources into various data platforms.


- Big Data Technologies : Work extensively with big data technologies and distributed computing frameworks to process and analyze large volumes of data.


- Database Management : Design, implement, and manage various database systems, including relational (PostgreSQL, MySQL), NoSQL (e.g., MongoDB, Cassandra), and data warehouses (Snowflake, BigQuery).


- Cloud Data Solutions : Leverage expertise in cloud data services (AWS, Azure, GCP) to build, deploy, and manage data infrastructure and services.


- Data Governance & Quality : Implement robust data governance, data security, and data quality frameworks to ensure data integrity and compliance.


- Performance Optimization : Identify and resolve performance bottlenecks in data pipelines and databases, ensuring efficient data processing and retrieval.


- Mentorship & Leadership : Provide technical leadership and mentorship to junior and mid-level data engineers, fostering a culture of excellence and continuous learning within the team.


- Cross-functional Collaboration : Partner closely with data scientists, analysts, software engineers, and

product managers to understand data requirements and deliver impactful data solutions.


Required Skills & Qualifications :


- 10+ years of professional experience in data engineering, with a strong focus on large-scale data systems.


- Expertise in designing and building ETL/ELT pipelines and data warehousing solutions.


- Strong proficiency in at least one major programming language for data engineering (Python, Java).


- In-depth experience with big data technologies ( Spark, Hadoop, ).


- Extensive experience with cloud data platforms (AWS Glue, S3 ; Azure Data Factory, Data Lake, Synapse; Google Cloud Dataflow, BigQuery).


- Proficiency with various database systems (relational, NoSQL, columnar databases).


- Strong knowledge of SQL for complex data manipulation and analysis.


- Experience with data governance, data security, and data quality practices.


- Familiarity with containerization (Docker, Kubernetes) and CI/CD practices for data pipelines.


- Excellent problem-solving, analytical, and architectural design skills.


- Strong communication (verbal and written) and leadership abilities.


- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field.

(ref:hirist.tech)

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