Senior Data Warehouse Engineer

3 weeks ago

BangaloreAny Location, India TalentXo Full time

Criteria :

Role : Strong Senior Data Warehouse/Data Engineer

- Must have more than 8+ YOE in Software Development

- Must have 6+ YOE in Data Ware house/Data Engineering and Data Modelling

- Must have strong work experience in Any Dataware House / Data Lake

- Must have Good Experience in SQL on any databases MySQL / PostgreSQL / Postgres / Oracle / SQL Server / DB2

- Must have experience in any Programming language like - Java, Python, etc

- Must have experience in Cloud-based development (AWS / Azure / GCP)

- Experience in Data Engineering skills like Spark, Bigquery, Hadoop, Airflow etc

Mandatory (Education) : B.Tech / BE

Preferred (Company) : Product Companies

Role & Responsibilities :

- Design, architect, and develop code in a testable, scalable, and performant manner.

- Work closely with Product Managers, Cross Product Engineers and Data Engineers to optimize and deliver innovative solutions.

- Build a team that mines, analyzes, and transforms large (un)structured datasets, collaborating with analysts, data scientists, and business users to create actionable metrics and datasets that solve business questions.

- Develop a plan and schedule with well-defined milestones.

- Digging in alongside the team in a crunch scenario or to solve a critical issue.

- Manage and facilitate technical design discussions, contribute significant verbal and written contributions, and help your team overcome hurdles.

- Work with team to develop automated testing protocols and deploy tests with every release.

- Utilize an agile approach to process and structure.

- Foster a healthy and collaborative culture that embodies our team values.

- Provide expertise in query building and data modeling to ensure data is made available in a timely, efficient, and comprehendible means.

- Partner with our other teams to ensure documentation, privacy, and best in class coding practices are implemented within Analytical engineering.

- Act as SME for specific data domains by enabling analytical data sets for internal ad-hoc analysis - Engage with key stakeholders in the business, product and software teams to clearly understand and scope analytical requests.

- Enable the team to expand its impact, by improving delivery mechanisms and working closely with the data, product and growth organizations to increase the value we can bring to our customers.

Ideal Candidate :

- At least 8 years of software design and development experience with a background in Data Engineering.

- BE or equivalent degree in Computer Science or related field.

- Deep understanding of data modeling, SQL, data warehouses / data lake and data engineering skills, and a passion to share that with a team.

- Ability to provide technical leadership throughout the design and delivery process, bringing perspective and motivating engineers to develop simple, pragmatic solutions to complex problems.

- Knowledge of software and data engineering best practices including testing, quality, and security.

- Passion for developing early career talent who will become the next leaders in the organization, enabling the individuals and the team to work with autonomy.

- Extensive background and demonstrated track record in building end user-facing analytical models in SQL.

- Hands-on SQL experience in aspects of data engineering and operations, including data ingestion, delivery, and operations.

- Help define the strategy and standards for analytical engineering.

- Experience defining testing and data quality programs.

- Expertise in query building and data modeling to ensure data is made available in a timely, efficient, and comprehendible means.

- Experience with tools such as Python, Airflow, Data Lakes, Terraform, APM tooling and BI tooling - (e.g Tableau, PowerBI).

- Develop/source tools and processes to improve software engineering productivity.

- Strong Python experience, REST APIs, MySQL.

- Strong, proven mentorship skills demonstrate the ability to motivate, develop, and guide Data Engineers.

- Ability to communicate with both technical and non-technical audiences.

- Experience with AWS and Snowflake is required.

- Recruiting industry experience, such as working experiences with Taleo, Workday, SuccessFactors is a plus.

- Excellent communication skills.

(ref:hirist.tech)

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