Data Engineer

Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization’s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.

Altimetrik helps get companies get “unstuck”. We’re a technology company that lives organizations a process and context to solve problems in unconventional ways. We’re a catalyst for organization’s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable.

JD for Data Engineer

Primary Skills / Must have

3-5 years of experience with the technical analysis and design, development and implementation of data warehousing / Data Lake solutions.

Well versed and Hand-on in Python, PySpark, SQL , Database (Snowflake/Hadoop).

Good understanding/experience in Impala/Spark;

Strong SQL programming and stored procedure development skills;

Relational database experience (experience with Snowflake is a big plus);

Strong UNIX Shell scripting or Python experience to support data warehousing solutions;

Process oriented, focused on standardization, streamlining, and implementation of best practices delivery approach;

Excellent problem solving and analytical skills;

Excellent verbal and written communication skills;

Experience in optimizing large data loads;

Secondary Skills / Desired skills

Should be a good Team player;Experience in OLAP/Relational databases would be good.

Exposure to an Agile Development environment would be a plus.

Knowledge about TWS Scheduler would an added advantage;

Strong understanding of Data warehousing domain;

Ability to architect an ETL solution and data conversion strategy;

Good understanding of dimensional modelling;

Roles and Responsibilities

As an ETL / Hadoop developer, the candidate is expected to

Design and development of Snowflake and Hadoop applications.

Undertaking end-to-end project delivery (from inception to post-implementation support), including review and finalization of business requirements, creation of functional specifications and/or system designs, and ensuring that end-solution meets business needs and expectations.

Development of new transformation processes to load data from source to target, or performance tuning of existing ETL code (mappings, sessions) and Hadoop/Cloud Platform.

Analysis of existing designs and interfaces and applying design modifications or enhancements

Coding and documenting data processing scripts and stored procedures.

Providing business insights and analysis findings for ad-hoc data requests

Testing software components and complete solutions (including debugging and troubleshooting) and preparing migration documentation.

Providing reporting-line transparency through periodic updates on project or task status